Best Enterprise Database Software - Page 13

Compare the Top Enterprise Database Software as of November 2024 - Page 13

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    Prisma

    Prisma

    Prisma

    Building the data layer for modern applications. Prisma replaces traditional ORMs. Simplified & type-safe database access. Declarative migrations & data modeling. Powerful & visual data management. Auto-generated and type-safe database client. Prisma client simplifies database access. It lets you read and write data to your database using your favorite programming language. Prisma makes it easy to implement GraphQL servers. Learn how to use the Prisma client to access your database inside your resolvers.
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    Hazelcast

    Hazelcast

    Hazelcast

    In-Memory Computing Platform. The digital world is different. Microseconds matter. That's why the world's largest organizations rely on us to power their most time-sensitive applications at scale. New data-enabled applications can deliver transformative business power – if they meet today’s requirement of immediacy. Hazelcast solutions complement virtually any database to deliver results that are significantly faster than a traditional system of record. Hazelcast’s distributed architecture provides redundancy for continuous cluster up-time and always available data to serve the most demanding applications. Capacity grows elastically with demand, without compromising performance or availability. The fastest in-memory data grid, combined with third-generation high-speed event processing, delivered through the cloud.
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    Robin.io

    Robin.io

    Robin.io

    ROBIN is the industry’s first hyper-converged Kubernetes platform for big data, databases, and AI/ML. The platform provides a self-service App-store experience for the deployment of any application, anywhere – runs on-premises in your private data center or in public-cloud (AWS, Azure, GCP) environments. Hyper-converged Kubernetes is a software-defined application orchestration framework that combines containerized storage, networking, compute (Kubernetes), and the application management layer into a single system. Our approach extends Kubernetes for data-intensive applications such as Hortonworks, Cloudera, Elastic stack, RDBMS, NoSQL databases, and AI/ML apps. Facilitates simpler and faster roll-out of critical Enterprise IT and LoB initiatives, such as containerization, cloud-migration, cost-consolidation, and productivity improvement. Solves the fundamental challenges of running big data and databases in Kubernetes.
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    FairCom DB

    FairCom DB

    FairCom Corporation

    FairCom DB is ideal for large-scale, mission-critical, core-business applications that require performance, reliability and scalability that cannot be achieved by other databases. FairCom DB delivers predictable high-velocity transactions and massively parallel big data analytics. It empowers developers with NoSQL APIs for processing binary data at machine speed and ANSI SQL for easy queries and analytics over the same binary data. Among the companies that take advantage of the flexibility of FairCom DB is Verizon, who recently chose FairCom DB as an in-memory database for its Verizon Intelligent Network Control Platform Transaction Server Migration. FairCom DB is an advanced database engine that gives you a Continuum of Control to achieve unprecedented performance with the lowest total cost of ownership (TCO). You do not conform to FairCom DB…FairCom DB conforms to you. With FairCom DB, you are not forced to conform your needs to meet the limitations of the database.
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    Altinity

    Altinity

    Altinity

    Altinity's expert engineering team can implement everything from core ClickHouse features to Kubernetes operator behavior to client library improvements. A flexible docker-based GUI manager for ClickHouse that can do the following: Install ClickHouse clusters; Add, delete, and replace nodes; Monitor cluster status; Help with troubleshooting and diagnostics. 3rd party tools and software integrations: Ingest: Kafka, ClickTail; APIs: Python, Golang, ODBC, Java; Kubernetes; UI tools: Grafana, Superset, Tabix, Graphite; Databases: MySQL, PostgreSQL; BI tools: Tableau and many more. Altinity.Cloud incorporates lessons from helping hundreds of customers operate ClickHouse-based analytics. Altinity.Cloud has a Kubernetes-based architecture that delivers portability and user choice of where to operate. Designed from the beginning to run anywhere without lock-in. Cost management is critical for SaaS businesses.
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    EntelliFusion
    Teksouth’s EntelliFusion is a fully managed, end-to-end solution. Rather than piecing together several different platforms for data prep, data warehousing and governance, then deploying a great deal of IT resources to figure out how to make it all work; EntelliFusion's architecture provides a one-stop shop for outfitting an organizations data infrastructure. With EntelliFusion, data silos become centralized in a single platform for cross functional KPI's, creating holistic and powerful insights. EntelliFusion’s “military-born” technology has proven successful against the strenuous demands of the USA’s top echelon of military operations. In this capacity, it was massively scaled across the DOD for over twenty years. EntelliFusion is built on the latest Microsoft technologies and frameworks which allows it to be continually enhanced and innovated. It is data agnostic, infinitely scalable, and guarantees accuracy and performance to promote end-user tool adoption.
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    Modex

    Modex

    M3 Holdings

    Blockchain powered data immutability. Real data integrity becomes possible now with our patented hybrid blockchain-database middleware. Enterprise use cases Hybrid Database System . With our broad expertise in delivering enterprise blockchain services, tools, and frameworks that address a variety of industry-specific needs, we help organizations gain a competitive advantage on the market. Incident Response. Eliminating the single point of failure found in traditional databases, making it virtually impossible for an incident to affect the entire network. Regulatory Compliance. A complete audit trail for the entire lifecycle of every record, helping companies prove compliance with data protection regulations. Log Management. Not allowing any data changes or deletion, providing businesses with a tamper-resistant archive of events. Modex BCDB is a middleware that fuses a blockchain with a database to create a structure that is easy to use and understand by developers
  • 8
    Silk Cloud Data Platform
    Silk gives your cloud databases superpowers, so they reach performance levels you've never even dreamed of. Silk platform sits neatly between your cloud infrastructure and your database. Silk adds a smart, resilient yet invisible layer that transforms your database into a cloud powerhouse allowing it to optimize your data without any change to your DB or applications, making your cloud environment run 10x faster, and your entire stack more resilient to any infrastructure hiccups.
  • 9
    Oracle Coherence
    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

    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
    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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    InterBase

    InterBase

    Embarcadero

    Ultrafast, scalable, embeddable SQL database with commercial-grade data security, disaster recovery, and change synchronization. Cross-platform, zero-install, embedded database as a direct-access library. Cross-platform, zero-install, embedded database with database-level and column-level AES and DES encryption. Concurrent applications/client access to the database on Windows with database-level and column-level AES and DES encryption. Ultrafast, scalable, SQL server database for Windows and Linux with commercial-grade data security, disaster recovery and change synchronization. Attacks on databases and loss of data can be costly and lead to loss of customers’ trust (and business), regulatory action, and heavy fines. InterBase provides over-the-wire and at-rest encryption, separate security login, and role-based user security. InterBase maintains full on-disk encryption while adding negligible overhead to database speed and performance.
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    Clonetab

    Clonetab

    Clonetab

    For ERPs like Oracle e-Business Suite, PeopleSoft & Databases Clonetab is the only software which can virtualize and provide true end-to-end on-demand clones of ERPs (like Oracle e-Business Suite, PeopleSoft) or databases. It can also provide an integrated solution for virtualization, cloning, Disaster Recovery, Backups and Oracle EBS Snapshots. Clonetab engines – Deeply aware of ERP Applications, not just Databases The engines are deeply EBS & PS aware and can identify the major releases (e.g. R12.1, R12.2) and patchset levels like AD, TXK and executes the clone commands accordingly. The platform provides options to retain EBS/PS specific options like profile option retention, Concurrent/Process scheduler setups retention, EBS users with responsibilities retention, Database links, Directories retention, workflows setups and many more options, resulting in a true end-to-end ERP clone.
  • 14
    MySQL Workbench
    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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    jBASE

    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.
  • 16
    CA Database Management for IMS for z/OS
    With Database Management Solutions for IMS™ for z/OS®, you'll experience faster data retrieval, quickly create and rebuild indexes, implement secondary indexes on Fast Path databases, minimize backup and recovery times, increase data availability, conserve CPU resources and provide consistent, secure data that can be recovered in minimal time. Ease the burden of managing and maintaining IMS structures and help increase productivity. Create secure backups, establish recovery procedures and execute disaster recovery. Use sophisticated analysis to help keep IMS structures performing optimally. You can depend on our IMS Database Management Solutions to optimize and automate database performance for reduced backup and recovery times, more efficient CPU usage, faster data retrieval or recovery, and better data availability.
  • 17
    Calligra
    Calligra Suite is an office and graphic art suite by KDE. It is available for desktop PCs, tablet computers, and smartphones. It contains applications for word processing, spreadsheets, presentation, vector graphics, and editing databases. Calligra Words is an intuitive word processor application with desktop publishing features. With it, you can create informative and attractive documents with ease. Calligra Words makes adding images, charts etc to your documents effortless. It’s as simple as dragging it onto the document. Calligra Sheets is a fully-featured spreadsheet application. Use it to quickly create spreadsheets with formulas and charts, to calculate and organize your data. KEXI is a visual database applications creator. It can be used for designing database applications, inserting and editing data, performing queries, and processing data. Forms can be created to provide a custom interface to your data.
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    Debezium

    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.
  • 19
    Oracle TimesTen
    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.
  • 20
    Apache Geode
    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.
  • 21
    Ehcache

    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

    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

    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 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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    InfiniDB

    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

    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

    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

    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

    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
    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.