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DBMS > Apache Impala vs. H2GIS vs. PlanetScale vs. Realm vs. Yanza

System Properties Comparison Apache Impala vs. H2GIS vs. PlanetScale vs. Realm vs. Yanza

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonH2GIS  Xexclude from comparisonPlanetScale  Xexclude from comparisonRealm  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopSpatial extension of H2Scalable, distributed, serverless MySQL database platform built on top of VitessA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataTime Series DBMS for IoT Applications
Primary database modelRelational DBMSSpatial DBMSRelational DBMSDocument storeTime Series DBMS
Secondary database modelsDocument storeRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websiteimpala.apache.orgwww.h2gis.orgplanetscale.comrealm.ioyanza.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.h2gis.org/­docs/­homeplanetscale.com/­docsrealm.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCNRSPlanetScaleRealm, acquired by MongoDB in May 2019Yanza
Initial release20132013202020142015
Current release4.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoLGPL 3.0commercialOpen Sourcecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGo
Server operating systemsLinuxDocker
Linux
macOS
Android
Backend: server-less
iOS
Windows
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infowith proprietary extensionsnono
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCJavaAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infobased on H2yes infoproprietary syntaxno inforuns within the applications so server-side scripts are unnecessaryno
Triggersnoyesyesyes infoChange Listenersyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infobased on H2Multi-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at shard levelACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infobased on H2Users with fine-grained authorization concept infono user groups or rolesyesno

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More resources
Apache ImpalaH2GISPlanetScaleRealmYanza
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