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DBMS > Apache Pinot vs. Datomic vs. Microsoft Azure Synapse Analytics vs. NSDb vs. OceanBase

System Properties Comparison Apache Pinot vs. Datomic vs. Microsoft Azure Synapse Analytics vs. NSDb vs. OceanBase

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDatomic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonOceanBase  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA distributed, high available RDBMS compatible with Oracle and MySQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Websitepinot.apache.orgwww.datomic.comazure.microsoft.com/­services/­synapse-analyticsnsdb.ioen.oceanbase.com
Technical documentationdocs.pinot.apache.orgdocs.datomic.comdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architectureen.oceanbase.com/­docs/­oceanbase-database
DeveloperApache Software Foundation and contributorsCognitectMicrosoftOceanBase infopreviously Alibaba and Ant Group
Initial release20152012201620172010
Current release1.0.0, September 20231.0.7075, December 20234.3.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freecommercialOpen Source infoApache Version 2.0Open Source infoCommercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureC++Java, ScalaC++
Server operating systemsAll OS with a Java JDK11 or higherAll OS with a Java VMhostedLinux
macOS
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringyes
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
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like query languageyes
APIs and other access methodsJDBCRESTful HTTP APIADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Supported programming languagesGo
Java
Python
Clojure
Java
C#
Java
PHP
Java
Scala
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 proceduresyes infoTransaction FunctionsTransact SQLnoPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode
TriggersBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnone infoBut extensive use of caching in the application peersSharding, horizontal partitioningShardinghorizontal partitioning (by hash, key, range, range columns, list, and list columns)
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and development
User concepts infoAccess controlnoyesAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache PinotDatomicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbOceanBase
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