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DBMS > Datastax Enterprise vs. FoundationDB vs. Fujitsu Enterprise Postgres vs. Ignite vs. InfinityDB

System Properties Comparison Datastax Enterprise vs. FoundationDB vs. Fujitsu Enterprise Postgres vs. Ignite vs. InfinityDB

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonFoundationDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonIgnite  Xexclude from comparisonInfinityDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Ordered key-value store. Core features are complimented by layers.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A Java embedded Key-Value Store which extends the Java Map interface
Primary database modelWide column storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSKey-value store
Relational DBMS
Key-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.80
Rank#60  Overall
#4  Wide column stores
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Websitewww.datastax.com/­products/­datastax-enterprisegithub.com/­apple/­foundationdbwww.postgresql.fastware.comignite.apache.orgboilerbay.com
Technical documentationdocs.datastax.comapple.github.io/­foundationdbwww.postgresql.fastware.com/­product-manualsapacheignite.readme.io/­docsboilerbay.com/­infinitydb/­manual
DeveloperDataStaxFoundationDBPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyApache Software FoundationBoiler Bay Inc.
Initial release2011201320152002
Current release6.8, April 20206.2.28, November 2020Fujitsu Enterprise Postgres 14, January 2022Apache Ignite 2.64.0
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaC++CC++, Java, .NetJava
Server operating systemsLinux
OS X
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
All OS with a Java VM
Data schemeschema-freeschema-free infosome layers support schemasyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesno
Secondary indexesyesnoyesyesno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLsupported in specific SQL layer onlyyesANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
Java
Server-side scripts infoStored proceduresnoin SQL-layer onlyuser defined functionsyes (compute grid and cache interceptors can be used instead)no
Triggersyesnoyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardingpartitioning by range, list and by hashShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyesSource-replica replicationyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Linearizable consistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynoin SQL-layer onlyyesnono infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACIDACIDACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users can be defined per objectnofine grained access rights according to SQL-standardSecurity Hooks for custom implementationsno
More information provided by the system vendor
Datastax EnterpriseFoundationDBFujitsu Enterprise PostgresIgniteInfinityDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
100% compatible with community PostgreSQL
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Built-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Transactional payments applications, reporting and mixed workloads.
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Over 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsAnnual subscription
» more
Core based licensing
» more

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More resources
Datastax EnterpriseFoundationDBFujitsu Enterprise PostgresIgniteInfinityDB
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