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DBMS > GigaSpaces vs. Interbase vs. Splice Machine vs. TerminusDB vs. VelocityDB

System Properties Comparison GigaSpaces vs. Interbase vs. Splice Machine vs. TerminusDB vs. VelocityDB

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonInterbase  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsLight-weight proven RDBMS infooriginally from BorlandOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMSGraph DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.gigaspaces.comwww.embarcadero.com/­products/­interbasesplicemachine.comterminusdb.comvelocitydb.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.embarcadero.com/­products/­interbasesplicemachine.com/­how-it-worksterminusdb.github.io/­terminusdb/­#velocitydb.com/­UserGuide
DeveloperGigaspaces TechnologiesEmbarcaderoSplice MachineDataChemist Ltd.VelocityDB Inc
Initial release20001984201420182011
Current release15.5, September 2020InterBase 2020, December 20193.1, March 202111.0.0, January 20237.x
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3commercial
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.
Implementation languageJava, C++, .NetCJavaProlog, RustC#
Server operating systemsLinux
macOS
Solaris
Windows
Android
iOS
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
LinuxAny that supports .NET
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.no infoXML can be used for describing objects metadatano infoexport as XML data possiblenono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsyesyesSQL-like query language (WOQL)no
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
.Net
Supported programming languages.Net
C++
Java
Python
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Python
.Net
Server-side scripts infoStored proceduresyesyes infoInterbase procedure and trigger languageyes infoJavayesno
Triggersyes, event driven architectureyesyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar PartitioningGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Interbase Change ViewsMulti-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardRole-based access controlBased on Windows Authentication

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More resources
GigaSpacesInterbaseSplice MachineTerminusDB infoformer name was DataChemistVelocityDB
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