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DBMS > Heroic vs. Ignite vs. InterSystems Caché vs. Teradata Aster vs. Tibero

System Properties Comparison Heroic vs. Ignite vs. InterSystems Caché vs. Teradata Aster vs. Tibero

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonIgnite  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTibero  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchApache 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 multi-model DBMS and application serverPlatform for big data analytics on multistructured data sources and typesA secure RDBMS, designed for easy portability from Oracle
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitegithub.com/­spotify/­heroicignite.apache.orgwww.intersystems.com/­products/­cacheus.tmaxsoft.com/­products/­tibero
Technical documentationspotify.github.io/­heroicapacheignite.readme.io/­docsdocs.intersystems.comtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperSpotifyApache Software FoundationInterSystemsTeradataTmaxSoft
Initial release20142015199720052003
Current releaseApache Ignite 2.62018.1.4, May 20206, April 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialcommercialcommercial
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 languageJavaC++, Java, .NetC and Assembler
Server operating systemsLinux
OS X
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesdepending on used data modelFlexible 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 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.noyesyesyes infoin Aster File Storeyes
Secondary indexesyes infovia Elasticsearchyesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyesyesyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
C
C#
C++
Java
Python
R
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yesR packagesPersistent Stored Procedure (PSM)
Triggersnoyes (cache interceptors and events)yesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Source-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesnono infoplanned for next version
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users, groups and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
HeroicIgniteInterSystems CachéTeradata AsterTibero
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