DBMS > eXtremeDB vs. Fujitsu Enterprise Postgres vs. GraphDB vs. JaguarDB vs. Redis
System Properties Comparison eXtremeDB vs. Fujitsu Enterprise Postgres vs. GraphDB vs. JaguarDB vs. Redis
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Name | eXtremeDB Xexclude from comparison | Fujitsu Enterprise Postgres Xexclude from comparison | GraphDB former name: OWLIM Xexclude from comparison | JaguarDB Xexclude from comparison | Redis Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | Natively in-memory DBMS with options for persistency, high-availability and clustering | Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features. | Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL. | Performant, highly scalable DBMS for AI and IoT applications | Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Relational DBMS Time Series DBMS | Relational DBMS | Graph DBMS RDF store | Key-value store Vector DBMS | Key-value store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Document store Spatial DBMS | Document store with RedisJSON Graph DBMS with RedisGraph Spatial DBMS Search engine with RediSearch Time Series DBMS with RedisTimeSeries Vector DBMS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | www.mcobject.com | www.postgresql.fastware.com | www.ontotext.com | www.jaguardb.com | redis.com redis.io | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | www.mcobject.com/docs/extremedb.htm | www.postgresql.fastware.com/product-manuals | graphdb.ontotext.com/documentation | www.jaguardb.com/support.html | docs.redis.com/latest/index.html redis.io/docs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Developer | McObject | PostgreSQL Global Development Group, Fujitsu Australia Software Technology | Ontotext | DataJaguar, Inc. | Redis project core team, inspired by Salvatore Sanfilippo Development sponsored by Redis Inc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2001 | 2000 | 2015 | 2009 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 8.2, 2021 | Fujitsu Enterprise Postgres 14, January 2022 | 10.4, October 2023 | 3.3 July 2023 | 7.2.5, May 2024 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | commercial | commercial | commercial Some plugins of GraphDB Workbench are open sourced | Open Source GPL V3.0 | Open Source source-available extensions (modules), commercial licenses for Redis Enterprise | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Implementation language | C and C++ | C | Java | C++ the server part. Clients available in other languages | C | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | AIX HP-UX Linux macOS Solaris Windows | Linux Windows | All OS with a Java VM Linux OS X Windows | Linux | BSD Linux OS X Windows ported and maintained by Microsoft Open Technologies, Inc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | yes | yes | schema-free and OWL/RDFS-schema support; RDF shapes | yes | schema-free | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | yes | yes | yes | partial Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no support of XML interfaces available | no | no | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes | yes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes | yes | yes with RediSearch module | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | yes with the option: eXtremeSQL | yes | stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBC | A subset of ANSI SQL is implemented but no views, foreign keys, triggers | with RediSQL module | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | .NET Client API JDBC JNI ODBC Proprietary protocol RESTful HTTP API | ADO.NET JDBC native C library ODBC streaming API for large objects | GeoSPARQL GraphQL GraphQL Federation Java API JDBC RDF4J API RDFS RIO Sail API Sesame REST HTTP Protocol SPARQL 1.1 | JDBC ODBC | proprietary protocol RESP - REdis Serialization Protocol | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | .Net C C# C++ Java Lua Python Scala | .Net C C++ Delphi Java JavaScript (Node.js) Perl PHP Python Tcl | .Net C# Clojure Java JavaScript (Node.js) PHP Python Ruby Scala | C C++ Go Java JavaScript (Node.js) PHP Python Ruby Scala | C C# C++ Clojure Crystal D Dart Elixir Erlang Fancy Go Haskell Haxe Java JavaScript (Node.js) Lisp Lua MatLab Objective-C OCaml Pascal Perl PHP Prolog Pure Data Python R Rebol Ruby Rust Scala Scheme Smalltalk Swift Tcl Visual Basic | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | yes | user defined functions | well-defined plugin interfaces; JavaScript server-side extensibility | no | Lua; Redis Functions coming in Redis 7 (slides and Github) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | yes by defining events | yes | no | no | publish/subscribe channels provide some trigger functionality; RedisGears | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | horizontal partitioning / sharding | partitioning by range, list and by hash | none | Sharding | Sharding Automatic hash-based sharding with support for hash-tags for manual sharding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Active Replication Fabric™ for IoT Multi-source replication by means of eXtremeDB Cluster option Source-replica replication by means of eXtremeDB High Availability option | Source-replica replication | Multi-source replication | Multi-source replication | Multi-source replication with Redis Enterprise Pack Source-replica replication Chained replication is supported | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | no | no | no | no | through RedisGears | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency | Immediate Consistency | Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request) | Eventual Consistency | Eventual Consistency Causal consistency can be enabled in Active-Active databases Strong consistency with Redis Raft Strong eventual consistency with Active-Active | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | yes | yes | yes Constraint checking | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | ACID | ACID | no | Atomic execution of command blocks and scripts and optimistic locking | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes Optimistic (MVCC) and pessimistic (locking) strategies available | yes, multi-version concurrency control (MVCC) | yes | yes | yes Data access is serialized by the server | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes | yes | yes Configurable mechanisms for persistency via snapshots and/or operations logs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | fine grained access rights according to SQL-standard | Default Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on. | rights management via user accounts | Access Control Lists (ACLs): redis.io/docs/management/security/acl LDAP and Role-Based Access Control (RBAC) for Redis Enterprise Mutual TLS authentication: redis.io/docs/management/security/encryption Password-based authentication | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
More information provided by the system vendor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
eXtremeDB | Fujitsu Enterprise Postgres | GraphDB former name: OWLIM | JaguarDB | Redis | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Specific characteristics | eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small... » more | 100% compatible with community PostgreSQL » more | Ontotext GraphDB is a semantic database engine that allows organizations to build... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competitive advantages | eXtremeDB databases can be modeled relationally or as objects and can utilize SQL... » more | Built-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed... » more | GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typical application scenarios | IoT application across all markets: Industrial Control, Netcom, Telecom, Defense,... » more | Transactional payments applications, reporting and mixed workloads. » more | Metadata enrichment and management, linked data publishing, semantic inferencing... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Key customers | Schneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,... » more | GraphDB provides a platform for building next-generation AI and Knowledge Graph... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Market metrics | With hundreds of customers and over 30 million devices/applications using the product... » more | Over 30 years experience in database technology. Over 20 years in Postgres development... » more | GraphDB is the most utilized semantic triplestore for mission-critical enterprise... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Licensing and pricing models | For server use cases, there is a simple per-server license irrespective of the number... » more | Core based licensing » more | GraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
News | A Triple Store RAG Retriever Integrating GraphDB with Relational Database Systems Understanding the Graph Center of Excellence Migrating From LPG to RDF Graph Model Case study: Policy Enforcement Automation With Semantics | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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eXtremeDB | Fujitsu Enterprise Postgres | GraphDB former name: OWLIM | JaguarDB | Redis | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | PostgreSQL is the DBMS of the Year 2018 MySQL, PostgreSQL and Redis are the winners of the March ranking MongoDB is the DBMS of the year, defending the title from last year Latest embedded DBMS supports asymmetric multiprocessing systems McObject Announces the Release of eXtremeDB/rt 1.2 The Data in Hard Real-time SCADA Systems Lets Companies Do More with Less McObject & IBM Set New Records for Speed & Stability in STAC-M3 Benchmark for Capital Markets McObject Delivers eXtremeDB 8.4 Improving Performance, Security, and Developer Productivity provided by Google News Fujitsu Develops Column-Oriented Data-Processing Engine Enabling Fast, High-Volume Data Analysis in Database ... Latest News Expert Insight 202009 KAC Primary Data says stop, Hammerspace, Innodisk cooks some SSDs, and Fujitsu goes blockchain Fujitsu Develops Database Integration Technology to Accelerate IoT Data Analysis provided by Google News Ontotext's GraphDB Solution is Now Available on the Microsoft Azure Marketplace Ontotext Unveils GraphDB 10.4 with Enhanced AWS Integration and ChatGPT Connector Ontotext GraphDB is available on Azure, delivers rich knowledge graph experience Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer provided by Google News Redis Interview Questions(3): List data type Redis acquires storage engine startup Speedb to enhance its open-source database AWS announces vector search for Amazon MemoryDB for Redis (Preview) Redis expands data management capabilities with Speedb acquisition – Blocks and Files In-memory database Redis wants to dabble in disk provided by Google News |
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