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DBMS > Apache Pinot vs. EDB Postgres vs. Graph Engine vs. Microsoft Azure Table Storage

System Properties Comparison Apache Pinot vs. EDB Postgres vs. Graph Engine vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonEDB Postgres  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitepinot.apache.orgwww.enterprisedb.comwww.graphengine.ioazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.pinot.apache.orgwww.enterprisedb.com/­docswww.graphengine.io/­docs/­manual
DeveloperApache Software Foundation and contributorsEnterpriseDBMicrosoftMicrosoft
Initial release2015200520102012
Current release1.0.0, September 202314, December 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoBSD for PostgreSQL-componentsOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC.NET and C
Server operating systemsAll OS with a Java JDK11 or higherLinux
Windows
.NEThosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesno
SQL infoSupport of SQLSQL-like query languageyes infostandard with numerous extensionsnono
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIRESTful HTTP API
Supported programming languagesGo
Java
Python
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C#
C++
F#
Visual Basic
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning infoby hash, list or rangehorizontal partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signatures

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More resources
Apache PinotEDB PostgresGraph Engine infoformer name: TrinityMicrosoft Azure Table Storage
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