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DBMS > AgensGraph vs. Apache Pinot vs. EsgynDB vs. Microsoft Azure Table Storage

System Properties Comparison AgensGraph vs. Apache Pinot vs. EsgynDB vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Pinot  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websitebitnine.net/­agensgraphpinot.apache.orgwww.esgyn.cnazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationbitnine.net/­documentationdocs.pinot.apache.org
DeveloperBitnine Global Inc.Apache Software Foundation and contributorsEsgynMicrosoft
Initial release2016201520152012
Current release2.1, December 20181.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++, Java
Server operating systemsLinux
OS X
Windows
All OS with a Java JDK11 or higherLinuxhosted
Data schemedepending on used data modelyesyesschema-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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLyesSQL-like query languageyesno
APIs and other access methodsCypher Query Language
JDBC
JDBCADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
Go
Java
Python
All languages supporting JDBC/ODBC/ADO.Net.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesJava Stored Proceduresno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioningShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication between multi datacentersyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signatures

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More resources
AgensGraphApache PinotEsgynDBMicrosoft Azure Table Storage
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