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DBMS > Apache Pinot vs. HBase vs. PostGIS vs. YugabyteDB

System Properties Comparison Apache Pinot vs. HBase vs. PostGIS vs. YugabyteDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonHBase  Xexclude from comparisonPostGIS  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyWide-column store based on Apache Hadoop and on concepts of BigTableSpatial extension of PostgreSQLHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSWide column storeSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument 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
Score30.50
Rank#26  Overall
#2  Wide column stores
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitepinot.apache.orghbase.apache.orgpostgis.netwww.yugabyte.com
Technical documentationdocs.pinot.apache.orghbase.apache.org/­book.htmlpostgis.net/­documentationdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by PowersetYugabyte Inc.
Initial release2015200820052017
Current release1.0.0, September 20232.3.4, January 20213.4.2, February 20242.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoGPL v2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJavaJavaCC and C++
Server operating systemsAll OS with a Java JDK11 or higherLinux
Unix
Windows infousing Cygwin
Linux
OS X
Data schemeyesschema-free, schema definition possibleyesdepending on used data model
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes
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.noyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query languagenoyesyes, PostgreSQL compatible
APIs and other access methodsJDBCJava API
RESTful HTTP API
Thrift
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesGo
Java
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infoCoprocessors in Javauser defined functionsyes infosql, plpgsql, C
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingyes infobased on PostgreSQLHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infobased on PostgreSQLBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes infobased on PostgreSQLyes
More information provided by the system vendor
Apache PinotHBasePostGISYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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More resources
Apache PinotHBasePostGISYugabyteDB
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