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DBMS > Ignite vs. ITTIA vs. Spark SQL vs. Teradata vs. Transbase

System Properties Comparison Ignite vs. ITTIA vs. Spark SQL vs. Teradata vs. Transbase

Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonITTIA  Xexclude from comparisonSpark SQL  Xexclude from comparisonTeradata  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Edge Time Series DBMS with Real-Time Stream ProcessingSpark SQL is a component on top of 'Spark Core' for structured data processingA hybrid cloud data analytics software platform (Teradata Vantage)A resource-optimized, high-performance, universally applicable RDBMS
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websiteignite.apache.orgwww.ittia.comspark.apache.org/­sqlwww.teradata.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationapacheignite.readme.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.teradata.comwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software FoundationITTIA L.L.C.Apache Software FoundationTeradataTransaction Software GmbH
Initial release20152007201419841987
Current releaseApache Ignite 2.68.73.5.0 ( 2.13), September 2023Teradata Vantage 1.0 MU2, January 2019Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercialcommercial infofree development license
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 languageC++, Java, .NetC and C++ScalaC and C++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
hosted
Linux
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesFixed schemayesyesyes
Typing infopredefined data types such as float or dateyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesyesyes
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.yesnonoyesno
Secondary indexesyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesSQL-like DML and DDL statementsyes infoSQL 2016 + extensionsyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
WebSocket
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
JavaScript (Node.js)
Python
Java
Python
R
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesnoyes infoUDFs, stored procedures, table functions in parallelyes
Triggersyes (cache interceptors and events)nonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesnoneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesnoyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsDatabase file passwordsnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
IgniteITTIASpark SQLTeradataTransbase
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