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DBMS > GigaSpaces vs. RavenDB vs. Teradata Aster vs. Transbase

System Properties Comparison GigaSpaces vs. RavenDB vs. Teradata Aster vs. Transbase

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonRavenDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTransbase  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsOpen Source Operational and Transactional Enterprise NoSQL Document DatabasePlatform for big data analytics on multistructured data sources and typesA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Document storeRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitewww.gigaspaces.comravendb.netwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlravendb.net/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperGigaspaces TechnologiesHibernating RhinosTeradataTransaction Software GmbH
Initial release2000201020051987
Current release15.5, September 20205.4, July 2022Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoAGPL version 3, commercial license availablecommercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC#C and C++
Server operating systemsLinux
macOS
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 metadatayes infoin Aster File Storeno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like query language (RQL)yesyes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C++
Java
Python
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
Python
R
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesyesR packagesyes
Triggersyes, event driven architectureyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availableACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlRole-based access controlAuthorization levels configured per client per databasefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
GigaSpacesRavenDBTeradata AsterTransbase
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