Best Database Software - Page 13
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TiDB
PingCAP
An open-source, cloud-native, distributed SQL database for elastic scale and real-time analytics. Supported by a wealth of open-source data migration tools in the ecosystem, TiDB gives you the freedom to choose your own vendor and avoid lock-in. Purposely built to deliver SQL at scale, TiDB eliminates the scaling problems of traditional relational databases without intrusion to your application. HTAP database platform that enables real-time situation awareness and decision making on live transactional data and eliminates friction between IT and business goals. TiDB is ACID-compliant and strongly consistent. You can use TiDB as a scale-out MySQL database with familiar SQL syntaxes and ecosystem tools. TiDB automatically shards your data so you don’t have to do it manually. You can simply add new nodes to scale horizontally and elastically to meet your business growth. TiDB simplifies the ETL process and automatically recovers from errors. -
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TiMi
TIMi
With TIMi, companies can capitalize on their corporate data to develop new ideas and make critical business decisions faster and easier than ever before. The heart of TIMi’s Integrated Platform. TIMi’s ultimate real-time AUTO-ML engine. 3D VR segmentation and visualization. Unlimited self service business Intelligence. TIMi is several orders of magnitude faster than any other solution to do the 2 most important analytical tasks: the handling of datasets (data cleaning, feature engineering, creation of KPIs) and predictive modeling. TIMi is an “ethical solution”: no “lock-in” situation, just excellence. We guarantee you a work in all serenity and without unexpected extra costs. Thanks to an original & unique software infrastructure, TIMi is optimized to offer you the greatest flexibility for the exploration phase and the highest reliability during the production phase. TIMi is the ultimate “playground” that allows your analysts to test the craziest ideas! -
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Oracle Coherence
Oracle
Oracle Coherence is the industry leading in-memory data grid solution that enables organizations to predictably scale mission-critical applications by providing fast access to frequently used data. As data volumes and customer expectations increase, driven by the “internet of things”, social, mobile, cloud and always-connected devices, so does the need to handle more data in real-time, offload over-burdened shared data services and provide availability guarantees. The latest release of Oracle Coherence, 14.1.1, adds a patented scalable messaging implementation, support for polyglot grid-side programming on GraalVM, distributed tracing in the grid, and certification on JDK 11. Coherence stores each piece of data within multiple members (one primary and one or more backup copies), and doesn't consider any mutating operation complete until the backup(s) are successfully created. This ensures that your data grid can tolerate the failure at any level: from single JVM, to whole data center. -
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Mongoose
Mongoose
Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Now say we like fuzzy kittens and want to record every kitten we ever meet in MongoDB. The first thing we need to do is include mongoose in our project and open a connection to the test database on our locally running instance of MongoDB. We have a pending connection to the test database running on localhost. We now need to get notified if we connect successfully or if a connection error occurs. Mongoose documents represent a one-to-one mapping to documents as stored in MongoDB. Each document is an instance of its Model. Subdocuments are documents embedded in other documents. In Mongoose, this means you can nest schemas in other schemas. Mongoose has two distinct notions of subdocuments: arrays of subdocuments and single nested subdocuments. -
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Inmagic DB/TextWorks
Lucidea
Inmagic DB/TextWorks combines a database management system with powerful search capabilities, and can be customized and managed by non-IT staff to organize information and share knowledge throughout an organization. Inmagic® DB/TextWorks® is a special combination of database and text retrieval software that enables you to build “textbases” (text / multi-media databases) to manage diverse types of information including bibliographic catalogs, documents, images, multimedia, etc. DB/TextWorks runs on Windows Operating systems and can be used on a single PC or in a networked environment. DB/TextWorks texbases can be made web accessible via DB/Text WebPublisher PRO. DB/TextWorks combines a database management system and a text retrieval system. It’s easy to use and does not require any programming. This combination delivers a powerful, flexible system that can be used by non-IT staff to organize information and share knowledge throughout an organization. -
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MySQL Workbench
Oracle
MySQL Workbench is a unified visual tool for database architects, developers, and DBAs. MySQL Workbench provides data modeling, SQL development, and comprehensive administration tools for server configuration, user administration, backup, and much more. MySQL Workbench is available on Windows, Linux and Mac OS X. MySQL Workbench enables a DBA, developer, or data architect to visually design, model, generate, and manage databases. It includes everything a data modeler needs for creating complex ER models, forward and reverse engineering, and also delivers key features for performing difficult change management and documentation tasks that normally require much time and effort. MySQL Workbench delivers visual tools for creating, executing, and optimizing SQL queries. The SQL Editor provides color syntax highlighting, auto-complete, reuse of SQL snippets, and execution history of SQL. The Database Connections Panel enables developers to easily manage standard database connections. -
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Postico
Postico
Postico is a database client. Postico can connect to a local PostgreSQL server running on your Mac, or to remote servers running on a different computer. If you want to install a local PostgreSQL server on your Mac, I recommend Postgres.app. Postgres.app starts a PostgreSQL server running locally on your Mac. The first time it starts it will automatically create a new data directory and set up an empty database. After a few moments, the server will be running and waiting for connections. Postgres.app can't start when another PostgreSQL server is already running on your computer. If you run into problems, make sure to deactivate or uninstall other PostgreSQL installations. Reboot your computer after uninstalling! To connect to a PostgreSQL server with Postico, you must first create a favorite. A favorite contains parameters for connecting to a server. Some connection parameters are optional. -
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jBASE
jBASE
The future of your PICK system requires a database platform that continually evolves to meet the needs of today’s developers. jBASE is now officially certified for Docker containers, including built-in support for the MongoDB NoSQL database, and standard APIs for Salesforce, Avalara, and dozens of other platforms. Plus new enhancements to Objects that make life easier for developers. We are continuing to invest in jBASE because we believe in PICK! While others see a decline, we’ve seen 6 years of consecutive growth. We care about your long-term success and haven’t had a maintenance price increase in decades. We play well with others by collaborating and making jBASE integrate with modern technologies like VSCode, Mongo, Docker, and Salesforce. The migration routes from other PICK databases have been vastly simplified, licensing now supports flexible CPU and SaaS-based models, and our in-line operating system approach means our scalability, speed and stability are unmatched. -
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Debezium
Debezium
Debezium is an open source distributed platform for change data capture. Start it up, point it at your databases, and your apps can start responding to all of the inserts, updates, and deletes that other apps commit to your databases. Debezium is durable and fast, so your apps can respond quickly and never miss an event, even when things go wrong. Your data is always changing. Debezium lets your apps react every time your data changes, and you don't have to change your apps that modify the data. Debezium continuously monitors your databases and lets any of your applications stream every row-level change in the same order they were committed to the database. Use the event streams to purge a cache, update search indexes, generate derived views and data, keep other data sources in sync, and much more. In fact, pull that functionality out of your app and into separate services. -
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Oracle TimesTen
Oracle
Oracle TimesTen In-Memory Database (TimesTen) delivers real time application performance (low response time and high throughput) by changing the assumptions around where data resides at runtime. By managing data in memory, and optimizing data structures and access algorithms accordingly, database operations execute with maximum efficiency achieving dramatic gains in responsiveness and throughput. With the introduction of TimesTen Scaleout, a shared nothing scale-out architecture based on the existing in-memory technology, TimesTen allows databases to transparently scale across dozens of hosts, reach hundreds of terabytes in size and support hundreds of millions of transactions per second without the need for manual database sharding or workload partitioning. -
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Apache Geode
Apache
Build high-speed, data-intensive applications that elastically meet performance requirements at any scale. Take advantage of Apache Geode's unique technology that blends advanced techniques for data replication, partitioning and distributed processing. Apache Geode provides a database-like consistency model, reliable transaction processing and a shared-nothing architecture to maintain very low latency performance with high concurrency processing. Data can easily be partitioned (sharded) or replicated between nodes allowing performance to scale as needed. Durability is ensured through redundant in-memory copies and disk-based persistence. Super fast write-ahead-logging (WAL) persistence with a shared-nothing architecture that is optimized for fast parallel recovery of nodes or an entire cluster. -
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Ehcache
Terracotta
Ehcache is an open source, standards-based cache that boosts performance, offloads your database, and simplifies scalability. It's the most widely-used Java-based cache because it's robust, proven, full-featured, and integrates with other popular libraries and frameworks. Ehcache scales from in-process caching, all the way to mixed in-process/out-of-process deployments with terabyte-sized caches. Terracotta actively develops, maintains, and supports Ehcache as a professional open source project available under an Apache 2.0 license. Contributors are welcome to join our community. -
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Mnesia
Erlang
The management of data in telecommunications systems has many aspects of which some, but not all, are addressed by traditional Database Management Systems (DBMSs). In particular, the high level of fault tolerance required in many nonstop systems, combined with requirements on the DBMS to run in the same address space as the applications, have led us to implement a new DBMS, called Mnesia. Mnesia is implemented in, and tightly coupled to Erlang. It provides the functionality that is necessary for the implementation of fault-tolerant telecommunications systems. Mnesia is a multiuser distributed DBMS specifically designed for industrial-grade telecommunications applications written in Erlang, which is also the intended target language. Mnesia tries to address all the data management issues required for typical telecommunications systems and has a number of features not normally found in traditional DBMSs. -
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HerdDB
Diennea
HerdDB is a SQL distributed database implemented in Java. It has been designed to be embeddable in any Java Virtual Machine. It is optimized for fast "writes" and primary key read/update access patterns. HerdDB is designed to manage hundreds of tables. It is simple to add and remove hosts and to reconfigure tablespaces to easly distribute the load on multiple systems. HerdDB leverages Apache Zookeeper and Apache Bookkeeper to build a fully replicated, shared-nothing architecture without any single point of failure. At the low level HerdDB is very similar to a key-value NoSQL database. On top of that an SQL abstraction layer and JDBC Driver support enables every user to leverage existing known-how and port existing applications to HerdDB. At Diennea we developed EmailSuccess, a powerfull MTA (Mail Transfer Agent), designed to deliver millions of email messages per hour to inboxes all around the world, -
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Percona TokuDB
Percona
Percona TokuDB® is an open source, high-performance storage engine for Percona Server for MySQL that improves scalability and operational efficiency. Designed for the demanding requirements of big data applications and large datasets, Percona TokuDB reduces the deployment costs associated with scaling and optimization efforts. Percona TokuDB and Percona Hot Backup are included in the Percona Server for MySQL download. Percona Consulting can determine if Percona TokuDB is the right storage engine solution for your business and database, and if it is, help to deploy it, while ensuring optimal performance with your open source database and mission-critical applications. If you lack the resources to manage your deployment, our managed services team can take over the full operational management of your servers, including database backup service. Lower operational and infrastructure costs and increased scalability and flexibility. -
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IBM IMS
IBM
IBM IMS™ is a hierarchical database management software system for online transaction processing (OLTP) and online batch processing. IMS 15 uses pervasive encryption of data and reduces the cost of generating deep insights by keeping your data on IBM Z. Like IMS 14, IMS 15 comes with superlative performance, reliability, and serviceability. Ease development and extend access to IMS transactions and data with open integration technologies. Gain the performance benefits of IMS Transaction Manager and attractive pricing. Use a high-speed, highly available IMS data server with an alternative, attractive pricing option. Enhance the performance and management of your IMS systems with database and transaction management tools. Gain analyst productivity and improve IMS application performance, resource utilization, and system availability. Use an integrated solution for simultaneous backup and recovery of multiple data sets and Fast Path areas. -
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M3
M3
M3 is the obvious choice for Cloud Native companies looking to scale up their Prometheus based monitoring systems. M3 can be used as Prometheus Remote Storage and has 100% PromQL compatibility. M3 was originally developed at Uber in order to provide visibility into Uber’s business operations, microservices and infrastructure. With its ability to horizontally scale with ease, M3 provides a single centralized storage solution for all monitoring use cases. Three replicas of data with quorum writes and reads for consistency. Proven in production to ingest more than one billion datapoints per second while serving more than two billion datapoint reads per second. Open sourced under the Apache 2 license with a highly active community. -
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InfiniDB
Database of Databases
InfiniDB is a column-store DBMS optimized for OLAP workloads. It has a distributed architecture to support Massive Paralllel Processing (MPP). It uses MySQL as its front-end such that users familiar with MySQL can quickly migrate to InfiniDB. Due to this fact, users can connect to InfiniDB using any MySQL connector. InfiniDB applies MVCC to do concurrency control. It uses term System Change Number (SCN) to indicate a version of the system. In its Block Resolution Manager (BRM), it utilizes three structures, version buffer, version substitution structure, and version buffer block manager, to manage multiple versions. InfiniDB applies deadlock detection to resolve conflicts. InfiniDB uses MySQL as its front-end and supports all MySQL syntaxes, including foreign keys. InfiniDB is a columnar DBMS. For each column, InfiniDB applies range partitioning and stores the minimum and maximum value of each partition in a small structure called extent map. -
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DuckDB
DuckDB
Processing and storing tabular datasets, e.g. from CSV or Parquet files. Large result set transfer to client. Large client/server installations for centralized enterprise data warehousing. Writing to a single database from multiple concurrent processes. DuckDB is a relational database management system (RDBMS). That means it is a system for managing data stored in relations. A relation is essentially a mathematical term for a table. Each table is a named collection of rows. Each row of a given table has the same set of named columns, and each column is of a specific data type. Tables themselves are stored inside schemas, and a collection of schemas constitutes the entire database that you can access. -
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ThreadDB
Textile
ThreadDB is a multi-party database built on IPFS and Libp2p that provides an alternative architecture for data on the web. ThreadDB aims to help power a new generation of web technologies by combining a novel use of event sourcing, Interplanetary Linked Data (IPLD), and access control to provide a distributed, scalable, and flexible database solution for decentralized applications. There are two implementations of ThreadDB, the first is written in Go. The second implementation is written in JavaScript (Typescript, really). This implementation has some optimizations to make it more ideal when writing web applications. The JavaScript implementation is currently a Client of the Go implementation. You can run it against your own go-threads instance or connect it to the Textile Hub to use one of ours. In general, when building apps that use threads in a remote context, like the browser, it's best to push the networking later to remote services whenever possible. -
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Machbase
Machbase
Machbase, a time-series database that stores and analyzes a lot of sensor data from various facilities in real time, is the only DBMS solution that can process and analyze big data at high speed. Experience the amazing speed of Machbase! It is the most innovative product that enables real-time processing, storage, and analysis of sensor data. High speed sensor data storage and inquiry for sensor data by embedding DBMS in an Edge devices. Best data storage and extraction performance by DBMS running in a single server. Configuring Multi-node cluster with the advantages of availability and scalability. Total management solution of Edge computing for device, connectivity and data. -
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RRDtool
RRDtool
RRDtool is the OpenSource industry standard, high performance data logging and graphing system for time series data. RRDtool can be easily integrated in shell scripts, perl, python, ruby, lua or tcl applications. -
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IBM Db2 Event Store is a cloud-native database system that is designed to handle massive amounts of structured data that is stored in Apache Parquet format. Because it is optimized for event-driven data processing and analysis, this high-speed data store can capture, analyze, and store more than 250 billion events per day. The data store is flexible and scalable to adapt quickly to your changing business needs. With the Db2 Event Store service, you can create these data stores in your Cloud Pak for Data cluster so that you can govern the data and use it for more in-depth analysis. You need to rapidly ingest large amounts of streaming data (up to one million inserts per second per node) and use it for real-time analytics with integrated machine learning capabilities. Analyze incoming data from different medical devices in real time to provide better health outcomes for patients while providing cost savings for moving the data to storage.
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SQLAlchemy
SQLAlchemy
SQLAlchemy is the Python SQL toolkit and object-relational mapper that gives application developers the full power and flexibility of SQL. SQL databases behave less like object collections the more size and performance start to matter; object collections behave less like tables and rows the more abstraction starts to matter. SQLAlchemy aims to accommodate both of these principles. SQLAlchemy considers the database to be a relational algebra engine, not just a collection of tables. Rows can be selected from not only tables but also joins and other select statements; any of these units can be composed into a larger structure. SQLAlchemy's expression language builds on this concept from its core. SQLAlchemy is most famous for its object-relational mapper (ORM), an optional component that provides the data mapper pattern. -
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ksqlDB
Confluent
Now that your data is in motion, it’s time to make sense of it. Stream processing enables you to derive instant insights from your data streams, but setting up the infrastructure to support it can be complex. That’s why Confluent developed ksqlDB, the database purpose-built for stream processing applications. Make your data immediately actionable by continuously processing streams of data generated throughout your business. ksqlDB’s intuitive syntax lets you quickly access and augment data in Kafka, enabling development teams to seamlessly create real-time innovative customer experiences and fulfill data-driven operational needs. ksqlDB offers a single solution for collecting streams of data, enriching them, and serving queries on new derived streams and tables. That means less infrastructure to deploy, maintain, scale, and secure. With less moving parts in your data architecture, you can focus on what really matters -- innovation. -
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DBComparer
DBComparer
DBComparer is a professional database comparison tool for analyzing the differences in Microsoft SQL Server 2008 (and 2005) database structures. It is an excellent tool for any project development team or DBA managing multiple copies of the same database on an SQL Server. This database comparison tool has a clean and straight-forward user interface. Results are clearly presented so that you can immediately see the differences in your databases. It will make locating and eliminating differences in your database fast and easy. In a Development or Test environment, you tend to have frequent changes to your databases and database schemas. But on live (Production) databases with real and potentially sensitive data, changes to the database schema are rare and can be complicated. In order to avoid unsuccessful deployments of your database related projects, you have to be sure that your databases are synchronized.Starting Price: Free -
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ApexSQL
Quest Software
We strive to ensure that all of our tools are “Best of class” in their respective category. We pride ourselves on our product support which we are frequently told is the best in our industry. We are constantly innovating, releasing new features and new tools on an aggressive schedule. Auditing and masking capabilities to keep sensitive data safe, discover and manage SQL Server instances and perform health and security checks. Achieve dramatic reductions in SQL Server backup/restore times and storage costs. Choose the best combination of CPU resource utilization and backup storage size reduction for your environment with eight compression levels. Ensure that no data or structure changes are lost during backup restores by capturing transactions made during the backup process and replaying them. Rollback truncate operation and recover lost data. -
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Kwil
Kwil
Kwil is the first decentralized, community-owned SQL database solution for building advanced dApps and protocols. Kwil enables advanced dApp development in a vastly shorter time by providing a highly scalable SQL database that feels native to Web2 developers. In order to build on a decentralized architecture, developers are currently required to manage highly complex and extremely unscalable blockchain-based data management solutions. KwilDB simplifies the decentralized development process while simultaneously providing an extremely cheap and scalable solution for storing and querying large amounts of data. By facilitating highly scalable decentralized data storage and querying, KwilDB enables dApps to seamlessly plug into data from other applications. Building on KwilDB means radically faster development times, the ability to quickly execute highly complex queries across massive data sets, and ease of access to data from other applications, enabling extreme composability. -
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SQL
SQL
SQL is a domain-specific programming language used for accessing, managing, and manipulating relational databases and relational database management systems. -
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DbNinja
DbNinja
The connection between your browser and DbNinja is encrypted, so even if you do not have SSL installed no one will be able to eavesdrop on your communication. DbNinja is an advanced web-based application for MySQL database administration and development. It's a must-have for those who wish to access their hosted servers remotely. DbNinja supports all the latest features including triggers, events, views, stored routines, and foreign keys; in addition, it allows to import and backup data and MySQL object structures, manage users, and much more. DbNinja has a highly functional and elegant user interface and can be used securely in any modern browser on any OS. No registration or payment information is needed, and no strings are attached. Paid premium features such as scheduled backups and server monitoring will soon become available. DbNinja is the most complete solution for novice and professional MySQL developers. It is also supported by most shared hosting providers.