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DBMS > Apache Impala vs. FoundationDB vs. H2GIS vs. Kingbase vs. Realm

System Properties Comparison Apache Impala vs. FoundationDB vs. H2GIS vs. Kingbase vs. Realm

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFoundationDB  Xexclude from comparisonH2GIS  Xexclude from comparisonKingbase  Xexclude from comparisonRealm  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionAnalytic DBMS for HadoopOrdered key-value store. Core features are complimented by layers.Spatial extension of H2An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Spatial DBMSRelational DBMSDocument store
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
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websiteimpala.apache.orggithub.com/­apple/­foundationdbwww.h2gis.orgwww.kingbase.com.cnrealm.io
Technical documentationimpala.apache.org/­impala-docs.htmlapple.github.io/­foundationdbwww.h2gis.org/­docs/­homerealm.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaFoundationDBCNRSBeiJing KINGBASE Information technologies inc.Realm, acquired by MongoDB in May 2019
Initial release20132013201319992014
Current release4.1.0, June 20226.2.28, November 2020V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoLGPL 3.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++JavaC and Java
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyesyes
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.nonoyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementssupported in specific SQL layer onlyyesStandard with numerous extensionsno
APIs and other access methodsJDBC
ODBC
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducein SQL-layer onlyyes infobased on H2user defined functionsno inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyesyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes infobased on H2yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyLinearizable consistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.noyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnoyes infobased on H2fine grained access rights according to SQL-standardyes

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More resources
Apache ImpalaFoundationDBH2GISKingbaseRealm
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