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DBMS > Apache Pinot vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. Percona Server for MongoDB vs. Teradata Aster

System Properties Comparison Apache Pinot vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. Percona Server for MongoDB vs. Teradata Aster

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPercona Server for MongoDB  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 distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Platform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSGraph DBMS
Key-value store
Relational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitepinot.apache.orgwww.graphengine.ioazure.microsoft.com/­services/­synapse-analyticswww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.pinot.apache.orgwww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analyticsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperApache Software Foundation and contributorsMicrosoftMicrosoftPerconaTeradata
Initial release20152010201620152005
Current release1.0.0, September 20233.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicensecommercialOpen Source infoGPL Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava.NET and CC++C++
Server operating systemsAll OS with a Java JDK11 or higher.NEThostedLinuxLinux
Data schemeyesyesyesschema-freeFlexible 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.nononoyes infoin Aster File Store
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyesnoyes
APIs and other access methodsJDBCRESTful HTTP APIADO.NET
JDBC
ODBC
proprietary protocol using JSONADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGo
Java
Python
C#
C++
F#
Visual Basic
C#
Java
PHP
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesTransact SQLJavaScriptR packages
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes 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 methodsnoyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Engineno
User concepts infoAccess controlyesAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Apache PinotGraph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePercona Server for MongoDBTeradata Aster
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