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DBMS > Apache Pinot vs. EventStoreDB vs. Microsoft Azure Table Storage vs. OceanBase

System Properties Comparison Apache Pinot vs. EventStoreDB vs. Microsoft Azure Table Storage vs. OceanBase

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonEventStoreDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOceanBase  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyIndustrial-strength, open-source database solution built from the ground up for event sourcing.A Wide Column Store for rapid development using massive semi-structured datasetsA distributed, high available RDBMS compatible with Oracle and MySQL
Primary database modelRelational DBMSEvent StoreWide column storeRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.66
Rank#147  Overall
#68  Relational DBMS
Websitepinot.apache.orgwww.eventstore.comazure.microsoft.com/­en-us/­services/­storage/­tablesen.oceanbase.com
Technical documentationdocs.pinot.apache.orgdevelopers.eventstore.comen.oceanbase.com/­docs/­oceanbase-database
DeveloperApache Software Foundation and contributorsEvent Store LimitedMicrosoftOceanBase infopreviously Alibaba and Ant Group
Initial release2015201220122010
Current release1.0.0, September 202321.2, February 20214.3.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourcecommercialOpen Source infoCommercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsAll OS with a Java JDK11 or higherLinux
Windows
hostedLinux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like query languagenoyes
APIs and other access methodsJDBCRESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Supported programming languagesGo
Java
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Server-side scripts infoStored proceduresnoPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoImplicit feature of the cloud servicehorizontal partitioning (by hash, key, range, range columns, list, and list columns)
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication using Paxos
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 integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Apache PinotEventStoreDBMicrosoft Azure Table StorageOceanBase
Specific characteristicsOceanBase Database is the world’s only native distributed database that has set new...
» more
Competitive advantagesHigh Availability : The five IDCs across three sites disaster recovery solution sets...
» more
Key customersOceanBase Database has helped over 400 customers across industries upgrade their...
» more
Market metricsTPC-C No.1 Performance , achieved a result of 707.35 million tpmC in the TPC-C benchmark...
» more
Licensing and pricing modelsMulan PubL v2 license for open source community edition. Commercial license for enterprise...
» more

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More resources
Apache PinotEventStoreDBMicrosoft Azure Table StorageOceanBase
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