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DBMS > Apache Pinot vs. Ehcache vs. Ignite vs. mSQL vs. Teradata Aster

System Properties Comparison Apache Pinot vs. Ehcache vs. Ignite vs. mSQL vs. Teradata Aster

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonEhcache  Xexclude from comparisonIgnite  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA widely adopted Java cache with tiered storage optionsApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.mSQL (Mini SQL) is a simple and lightweight RDBMSPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSKey-value storeKey-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Websitepinot.apache.orgwww.ehcache.orgignite.apache.orghughestech.com.au/­products/­msql
Technical documentationdocs.pinot.apache.orgwww.ehcache.org/­documentationapacheignite.readme.io/­docs
DeveloperApache Software Foundation and contributorsTerracotta Inc, owned by Software AGApache Software FoundationHughes TechnologiesTeradata
Initial release20152009201519942005
Current release1.0.0, September 20233.10.0, March 2022Apache Ignite 2.64.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercial infofree licenses can be providedcommercial
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 languageJavaJavaC++, Java, .NetC
Server operating systemsAll OS with a Java JDK11 or higherAll OS with a Java VMLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeyesschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.noyesnoyes infoin Aster File Store
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query languagenoANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsJDBCJCacheHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGo
Java
Python
JavaC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noR packages
Triggersyes infoCache Event Listenersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoby using Terracotta ServerShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryes (replicated cache)noneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencynoneImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlnoSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standard

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More resources
Apache PinotEhcacheIgnitemSQL infoMini SQLTeradata Aster
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