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DBMS > AgensGraph vs. FoundationDB vs. HBase vs. Splice Machine vs. TimesTen

System Properties Comparison AgensGraph vs. FoundationDB vs. HBase vs. Splice Machine vs. TimesTen

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonFoundationDB  Xexclude from comparisonHBase  Xexclude from comparisonSplice Machine  Xexclude from comparisonTimesTen  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLOrdered key-value store. Core features are complimented by layers.Wide-column store based on Apache Hadoop and on concepts of BigTableOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkIn-Memory RDBMS compatible to Oracle
Primary database modelGraph DBMS
Relational DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Wide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitebitnine.net/­agensgraphgithub.com/­apple/­foundationdbhbase.apache.orgsplicemachine.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationbitnine.net/­documentationapple.github.io/­foundationdbhbase.apache.org/­book.htmlsplicemachine.com/­how-it-worksdocs.oracle.com/­database/­timesten-18.1
DeveloperBitnine Global Inc.FoundationDBApache Software Foundation infoApache top-level project, originally developed by PowersetSplice MachineOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20162013200820141998
Current release2.1, December 20186.2.28, November 20202.3.4, January 20213.1, March 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infoApache version 2Open Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++JavaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemedepending on used data modelschema-free infosome layers support schemasschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingoptions to bring your own types, AVROyesyes
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.nonono
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLyessupported in specific SQL layer onlynoyesyes
APIs and other access methodsCypher Query Language
JDBC
Java API
RESTful HTTP API
Thrift
JDBC
Native Spark Datasource
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesin SQL-layer onlyyes infoCoprocessors in Javayes infoJavaPL/SQL
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesin SQL-layer onlynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
AgensGraphFoundationDBHBaseSplice MachineTimesTen
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