Best Database Software of 2025 - Page 15

FairCom DB is ideal to handle large-scale, mission critical core-business applications that demand performance, reliability, and scalability that cannot easily be achieved with other databases. FairCom DB provides predictable high-velocity transactions with big data analytics and massively parallel big-data processing. It provides developers with NoSQL APIs that allow them to process binary data at machine speed. ANSI SQL allows for simple queries and analysis over the same binary data. Verizon is one of the companies that has taken advantage of FairCom DB's flexibility. Verizon recently selected FairCom DB to be its in-memory database for the Verizon Intelligent Network Control Platform Transaction Server Migrating. FairCom DB, an advanced database engine, gives you a Continuum of Control that allows you to achieve unparalleled performance at a low total cost of ownership (TCO). FairCom DB doesn't conform to you. FairCom DB conforms. FairCom DB doesn't force you to conform to the database's limitations.

Direct is the fastest path from data to insight. Incorta empowers your business with a true self service data experience and breakthrough performance to make better decisions and achieve amazing results. Imagine if you could deliver data projects in days instead of weeks or months, instead of weeks and months with fragile ETL and expensive data warehouses. Our direct approach to analytics enables self-service on-premises or in the cloud with agility and performance. The world's most successful brands use Incorta to succeed where other analytics solutions fail. We offer connectors and pre-built solutions that can be used in your enterprise applications and technologies across multiple industries. Incorta's partners include Microsoft, eCapital and Wipro. They are responsible for delivering innovative solutions and customer success. Join our vibrant partner ecosystem.

Google Cloud Bigtable provides a fully managed, scalable NoSQL data service that can handle large operational and analytical workloads. Cloud Bigtable is fast and performant. It's the storage engine that grows with your data, from your first gigabyte up to a petabyte-scale for low latency applications and high-throughput data analysis. Seamless scaling and replicating: You can start with one cluster node and scale up to hundreds of nodes to support peak demand. Replication adds high availability and workload isolation to live-serving apps. Integrated and simple: Fully managed service that easily integrates with big data tools such as Dataflow, Hadoop, and Dataproc. Development teams will find it easy to get started with the support for the open-source HBase API standard.

The engineering team at Altinity possesses extensive expertise, enabling them to implement a wide range of functionalities from essential ClickHouse features to the behavior of Kubernetes operators and enhancements for client libraries. They offer a versatile, docker-based GUI manager for ClickHouse that enables users to install clusters, manage nodes through addition, deletion, or replacement, monitor the status of clusters, and assist with troubleshooting and diagnostics. Additionally, they support various third-party tools and software integrations, including ingestion tools like Kafka and ClickTail, APIs for Python, Golang, ODBC, and Java, as well as compatibility with Kubernetes. UI tools such as Grafana, Superset, Tabix, and Graphite are also part of their ecosystem, along with database integrations for MySQL and PostgreSQL, and business intelligence tools like Tableau and many others. Altinity.Cloud draws upon its extensive experience gained from assisting numerous clients in managing ClickHouse-based analytics, ensuring it meets diverse needs. Built on a Kubernetes-based architecture, Altinity.Cloud offers both portability and flexibility regarding deployment options, allowing users to operate without fear of vendor lock-in. Recognizing that effective cost management is vital for SaaS companies, Altinity prioritizes this aspect in its offerings to support sustainable growth.

SkySQL is the first and only database-as-a-service (DBaaS) to bring the full power of MariaDB Platform to the cloud, combining powerful enterprise features and world-class support with unrivaled ease of use and groundbreaking innovation. SkySQL is designed for mission-critical applications, enterprise governance, and augments automation with the human expertise required to support and manage mission critical deployments in the cloud. SkySQL offers customers a single solution to all their database needs. This eliminates the need for separate databases and data warehouse services (e.g. Amazon RDS + Amazon Redshift/Snowflake) and reduces the cost and complexity. SkySQL also provides a new generation modern applications with fast transactions, real-time analytics, and a new generation.

Data immutability through blockchain technology has reached a new level of integrity with our innovative hybrid blockchain-database middleware. This system is designed for enterprise applications, ensuring that organizations can leverage our extensive experience in providing tailored blockchain solutions, tools, and frameworks that cater to various industry requirements, thereby enhancing their competitive edge in the marketplace. Our approach to incident response removes the vulnerabilities of traditional databases by eliminating single points of failure, thus safeguarding the entire network from potential disruptions. Additionally, we offer robust regulatory compliance features, presenting a comprehensive audit trail that tracks every record's lifecycle, facilitating proof of adherence to data protection laws. With a focus on log management, our system ensures that no data alterations or deletions are permitted, thus delivering a tamper-proof archive of events. Modex BCDB serves as middleware that seamlessly integrates blockchain technology with database systems, creating a user-friendly and comprehensible structure for developers, ultimately streamlining the development process. This makes it easier for businesses to adopt cutting-edge technologies while maintaining data integrity and security.

Open-source, cloud-native distributed SQL database that allows for elastic scale and real time analytics. TiDB is supported by a wealth open-source data migration tools within the ecosystem. This allows you to choose your own vendor without worrying about lock-in. TiDB was designed to scale SQL without compromising your application. HTAP database platform which enables real-time situation analysis and decision making on transactional data. It eliminates friction between IT goals and business goals. TiDB is ACID compliant and strongly consistent. TiDB can be used as a scaled-out MySQL database using familiar SQL syntaxes. TiDB automatically shards data so you don’t have to do this manually. To scale horizontally or elastically to support your business growth, you can add new nodes. TiDB automates the ETL process, and automatically recovers from errors.

TIMi allows companies to use their corporate data to generate new ideas and make crucial business decisions more quickly and easily than ever before. The heart of TIMi’s Integrated Platform. TIMi's ultimate real time AUTO-ML engine. 3D VR segmentation, visualization. Unlimited self service business Intelligence. TIMi is a faster solution than any other to perform the 2 most critical analytical tasks: data cleaning, feature engineering, creation KPIs, and predictive modeling. TIMi is an ethical solution. There is no lock-in, just excellence. We guarantee you work in complete serenity, without unexpected costs. TIMi's unique software infrastructure allows for maximum flexibility during the exploration phase, and high reliability during the production phase. TIMi allows your analysts to test even the most crazy ideas.

Oracle Coherence stands out as the premier in-memory data grid solution, empowering organizations to effectively scale their critical applications by offering rapid access to often-used data. With the growth of data volumes and the rising expectations of customers—propelled by the internet of things, social media, mobile technology, cloud computing, and the prevalence of always-connected devices—there is an escalating demand for real-time data management, relief for overloaded shared data services, and assurance of availability. The recent update, version 14.1.1, introduces a unique scalable messaging feature, enables polyglot programming on GraalVM at the grid level, incorporates distributed tracing within the grid, and ensures certification with JDK 11. Coherence manages data by storing each item across several members, including one primary and multiple backup copies, and it does not deem any modification complete until the backups are securely created. This design guarantees that your data grid remains resilient to failures, whether they affect a single JVM or an entire data center, thereby enhancing reliability and performance. Ultimately, Oracle Coherence facilitates a robust framework for organizations to thrive in a data-driven world.

Let's be honest, creating boilerplate for validation, casting, and business logic in MongoDB can be tedious. This is the reason Mongoose was developed. Imagine we have a fondness for adorable kittens and wish to log every kitten we encounter in MongoDB. The first step is to incorporate Mongoose into our project and establish a connection to the test database hosted on our local MongoDB instance. We have an active connection to the test database located at localhost, and now it’s essential to set up notifications for successful connections or any errors that may arise. In Mongoose, documents correspond directly to the documents stored in MongoDB; each document is essentially an instance of its corresponding Model. Furthermore, subdocuments refer to documents that are nested within others, allowing for intricate data structures. Mongoose provides two main concepts for handling subdocuments: arrays of subdocuments and individual nested subdocuments, making it flexible for various data representations. With Mongoose, managing complex relationships and data structures becomes significantly easier, allowing developers to focus more on their application logic rather than the underlying database mechanics.

Inmagic DB/TextWorks is an innovative software solution that merges a database management system with robust search functionalities, allowing non-technical personnel to efficiently organize and disseminate information within an organization. This software is a unique blend of database and text retrieval capabilities, enabling users to create “textbases” that handle various forms of information such as bibliographic records, documents, images, and multimedia. Designed to operate on Windows operating systems, DB/TextWorks is versatile enough to function on individual computers or within a networked setup. Additionally, the textbases created with DB/TextWorks can be made accessible online through the DB/Text WebPublisher PRO feature. The user-friendly interface of DB/TextWorks eliminates the need for programming skills, making it a practical choice for organizations aiming to enhance knowledge sharing. This powerful combination not only streamlines information management but also fosters collaboration among team members. As a result, organizations can leverage this system to improve their overall operational efficiency.

MySQL Workbench serves as an integrated visual platform designed for database architects, developers, and administrators. It encompasses functionalities for data modeling, SQL development, and a wide range of administrative tasks like server setup, user management, and backup solutions. Compatible with Windows, Linux, and Mac OS X, MySQL Workbench allows users to visually design and manage databases efficiently. This tool provides everything necessary for data modelers to create intricate ER models while also facilitating forward and reverse engineering processes. Additionally, it offers essential features for managing changes and documentation, which typically consume considerable time and resources. With visual tools for building, executing, and refining SQL queries, MySQL Workbench enhances productivity. The SQL Editor boasts features such as syntax highlighting, auto-completion, the ability to reuse SQL snippets, and a history of SQL executions for easy tracking. Furthermore, the Database Connections Panel streamlines the management of database connections, making it user-friendly for developers at all levels.

Postico serves as a user-friendly database client that allows users to connect to a local PostgreSQL server hosted on their Mac or to remote servers on different machines. For those looking to set up a local PostgreSQL server on their Mac, Postgres.app is highly recommended as it efficiently initiates a PostgreSQL server locally. Upon its first launch, Postgres.app automatically generates a new data directory and sets up an empty database, swiftly getting the server ready to accept connections. However, it's important to note that Postgres.app cannot operate if another PostgreSQL server is already active on your machine, so if you encounter any issues, consider deactivating or uninstalling any other PostgreSQL installations. After uninstalling, it’s advisable to reboot your computer to ensure that all changes take effect. To establish a connection to a PostgreSQL server using Postico, you will need to create a favorite, which stores the necessary connection parameters; while some of these parameters are optional, they can enhance the connection experience. In creating a favorite, you can ensure a smoother and more efficient connection process.

The future of your PICK system hinges on a database platform that adapts and grows to satisfy the demands of contemporary developers. jBASE is now officially recognized for use with Docker containers, featuring integrated support for the MongoDB NoSQL database and standard APIs compatible with Salesforce, Avalara, and many other systems. Additionally, recent enhancements to Objects are designed to streamline processes for developers. Our commitment to jBASE is unwavering because we have confidence in the PICK ecosystem! Contrary to the perception of a downturn in this sector, we have achieved six consecutive years of growth. We prioritize your long-term success and have not raised our maintenance prices in decades. Our collaborative spirit allows jBASE to seamlessly integrate with cutting-edge technologies such as VSCode, Mongo, Docker, and Salesforce. Furthermore, we have significantly simplified migration paths from other PICK databases, our licensing now accommodates flexible CPU and SaaS-based models, and our in-line operating system architecture ensures that our scalability, speed, and stability remain unmatched. By continually innovating and improving our offerings, we aim to provide developers with the tools they need to thrive in an ever-changing technological landscape.

Debezium is a powerful open-source platform designed for capturing changes in data across distributed systems. By initiating the service and directing it towards your databases, your applications can seamlessly respond to every insert, update, and deletion made by other applications interacting with your databases. Known for its speed and reliability, Debezium ensures that your applications can quickly react to changes and remain resilient even in the face of failures. Since data is in a constant state of flux, Debezium empowers your applications to react to these alterations without requiring modifications to the applications responsible for the data changes. It continuously observes your databases, enabling your applications to stream every change at the row level in the exact order they were committed. This technology can be leveraged to refresh caches, update search indices, create derived views and datasets, synchronize other data sources, and much more. Moreover, you can extract this functionality from your core applications and build dedicated services to handle these tasks efficiently. Embracing Debezium allows for enhanced data management and improved application performance.

Oracle TimesTen In-Memory Database (TimesTen) enhances real-time application performance by rethinking the runtime data storage approach, resulting in reduced response times and increased throughput. By utilizing in-memory data management and refining data structures alongside access algorithms, TimesTen maximizes the efficiency of database operations, leading to significant improvements in both responsiveness and transaction throughput. The launch of TimesTen Scaleout introduces a shared-nothing architecture that builds on the existing in-memory capabilities, enabling seamless scaling across numerous hosts, accommodating vast data volumes of hundreds of terabytes, and processing hundreds of millions of transactions per second, all without requiring manual sharding or workload distribution. This innovative approach not only streamlines performance but also simplifies the overall database management experience for users.

Develop high-speed, data-centric applications that can dynamically adapt to performance needs regardless of scale. Leverage the distinctive technology of Apache Geode, which integrates sophisticated methods for data replication, partitioning, and distributed processing. With a database-like consistency model, Apache Geode guarantees dependable transaction handling and employs a shared-nothing architecture that supports remarkably low latency, even under high concurrency. The platform allows for seamless data partitioning (sharding) and replication across nodes, enabling performance to grow in accordance with demand. Reliability is bolstered by maintaining redundant in-memory copies along with disk-based persistence. Additionally, it features rapid write-ahead logging (WAL) persistence, optimized for quick parallel recovery of individual nodes or the entire cluster, ensuring robust performance even during failures. This combination of features not only enhances efficiency but also significantly improves overall system resilience.

Ehcache is a widely-used open-source caching solution that enhances performance, reduces database load, and makes scaling more straightforward. Its popularity among Java developers stems from its reliability, comprehensive features, and seamless integration with various libraries and frameworks. The cache can accommodate needs ranging from in-process caching to larger mixed deployments that handle terabyte-scale data. With Terracotta overseeing its development, maintenance, and support, Ehcache continues to thrive as a professional open-source project licensed under Apache 2.0. The community encourages contributors to engage and help improve this valuable tool. This collaborative spirit not only strengthens the project but also fosters innovation and growth within the caching ecosystem.

Data management in telecommunications encompasses various elements, some of which traditional Database Management Systems (DBMSs) do not fully cover. Due to the necessity for high fault tolerance in continuous operation systems and the need for the DBMS to operate within the same address space as the applications, we have developed a novel DBMS known as Mnesia. Mnesia is intricately integrated with Erlang and offers essential functionalities for creating fault-tolerant telecommunications systems. Specifically designed for industrial-grade telecommunications applications, Mnesia serves as a multiuser distributed DBMS and aligns with Erlang as its primary programming language. This system aims to resolve all data management challenges typical in telecommunications environments and boasts several advanced features rarely seen in conventional DBMSs. Moreover, Mnesia's design emphasizes reliability and performance, making it an ideal choice for critical applications in the field.

HerdDB is a distributed SQL database developed in Java, making it embeddable within any Java Virtual Machine. It has been specifically optimized for rapid write operations and efficient access patterns for primary key read and updates. Capable of managing numerous tables, HerdDB allows for straightforward addition and removal of hosts as well as flexible reconfiguration of tablespaces to effectively balance loads across multiple systems. Utilizing Apache Zookeeper and Apache Bookkeeper, HerdDB achieves a fully replicated architecture that eliminates any single point of failure. At its core, HerdDB shares similarities with key-value NoSQL databases, but it also incorporates an SQL abstraction layer along with JDBC Driver support, allowing users to easily transition existing applications to its platform. Additionally, at Diennea, we have created EmailSuccess, a highly efficient Mail Transfer Agent designed to deliver millions of emails per hour to recipients worldwide, showcasing the capabilities of our technology. This seamless integration of advanced database management and email delivery systems reflects our commitment to providing powerful solutions for modern data handling.

Percona TokuDB® serves as an open-source, high-performance storage engine tailored for Percona Server for MySQL, enhancing both scalability and operational efficiency. It is specifically engineered to meet the rigorous demands of big data applications and extensive datasets, leading to lower deployment costs associated with scaling and optimization. Downloading Percona Server for MySQL includes both Percona TokuDB and Percona Hot Backup, making it easier for users to access these powerful tools. For businesses unsure if Percona TokuDB is the optimal storage engine for their needs, Percona Consulting can assess their requirements and assist with deployment to ensure peak performance alongside their open-source databases and critical applications. If your organization lacks the resources to effectively manage this deployment, our managed services team is available to oversee the complete operational management of your servers, including comprehensive backup services for your database. This results in reduced operational and infrastructure expenses while simultaneously providing enhanced scalability and flexibility for your business. The combination of these services not only streamlines management but also allows companies to focus on their core objectives without being bogged down by technical challenges.

IBM IMS™ serves as a hierarchical database management system designed for online transaction processing (OLTP) as well as online batch processing. The latest version, IMS 15, enhances data security through pervasive encryption and lowers the cost of deriving meaningful insights by maintaining data on IBM Z. Similar to its predecessor, IMS 14, IMS 15 boasts exceptional performance, reliability, and maintainability. It facilitates development and broadens access to IMS transactions and data by utilizing open integration technologies. Users can experience the performance advantages of the IMS Transaction Manager while benefiting from competitive pricing. Additionally, organizations can take advantage of a high-speed, highly available IMS data server that offers an appealing pricing model. To further optimize the performance and administration of IMS systems, various database and transaction management tools are available. These enhancements not only boost analyst productivity but also elevate the performance of IMS applications, enhance resource utilization, and ensure system reliability. An integrated solution is also provided for the concurrent backup and recovery of multiple data sets and Fast Path areas, ensuring data integrity and availability. Ultimately, these features position IMS as a powerful tool for managing data and transactions effectively.

M3 stands out as the ideal selection for Cloud Native enterprises that aim to enhance their Prometheus-based monitoring frameworks. Serving as a Prometheus Remote Storage solution, M3 boasts complete compatibility with PromQL, ensuring seamless integration. Initially created at Uber, M3 was designed to offer comprehensive insights into the company's operations, microservices, and infrastructure. Its remarkable capability to scale horizontally allows M3 to function as a unified storage solution for diverse monitoring scenarios. The system maintains data integrity through three replicas and employs quorum reads and writes for consistency. M3 has demonstrated its effectiveness in production environments, managing to ingest over one billion data points every second and facilitating more than two billion data point reads in the same timeframe. Additionally, it is open-sourced under the Apache 2 license and is supported by a vibrant and engaged community, which contributes to its ongoing development and improvement. This makes M3 not just a robust solution, but also a collaborative effort that continues to evolve.

InfiniDB is a column-oriented database management system specifically designed for online analytical processing (OLAP) workloads, featuring a distributed architecture that facilitates Massive Parallel Processing (MPP). Its integration with MySQL allows users who are accustomed to MySQL to transition smoothly to InfiniDB, as they can connect using any MySQL-compatible connector. To manage concurrency, InfiniDB employs Multi-Version Concurrency Control (MVCC) and utilizes a System Change Number (SCN) to represent the system's versioning. In the Block Resolution Manager (BRM), it effectively organizes three key structures: the version buffer, the version substitution structure, and the version buffer block manager, which all work together to handle multiple data versions. Additionally, InfiniDB implements deadlock detection mechanisms to address conflicts that arise during data transactions. Notably, it supports all MySQL syntax, including features like foreign keys, making it versatile for users. Moreover, it employs range partitioning for each column, maintaining the minimum and maximum values of each partition in a compact structure known as the extent map, ensuring efficient data retrieval and organization. This unique approach to data management enhances both performance and scalability for complex analytical queries.

Handling and storing tabular data, such as that found in CSV or Parquet formats, is essential for data management. Transferring large result sets to clients is a common requirement, especially in extensive client/server frameworks designed for centralized enterprise data warehousing. Additionally, writing to a single database from various simultaneous processes poses its own set of challenges. DuckDB serves as a relational database management system (RDBMS), which is a specialized system for overseeing data organized into relations. In this context, a relation refers to a table, characterized by a named collection of rows. Each row within a table maintains a consistent structure of named columns, with each column designated to hold a specific data type. Furthermore, tables are organized within schemas, and a complete database comprises a collection of these schemas, providing structured access to the stored data. This organization not only enhances data integrity but also facilitates efficient querying and reporting across diverse datasets.