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DBMS > Apache Impala vs. DataFS vs. GeoSpock vs. H2GIS vs. Realm

System Properties Comparison Apache Impala vs. DataFS vs. GeoSpock vs. H2GIS vs. Realm

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDataFS  Xexclude from comparisonGeoSpock  Xexclude from comparisonH2GIS  Xexclude from comparisonRealm  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Spatial and temporal data processing engine for extreme data scaleSpatial extension of H2A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSObject oriented DBMSRelational DBMSSpatial DBMSDocument store
Secondary database modelsDocument storeGraph DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websiteimpala.apache.orgnewdatabase.comgeospock.comwww.h2gis.orgrealm.io
Technical documentationimpala.apache.org/­impala-docs.htmldev.mobiland.com/­Overview.xspwww.h2gis.org/­docs/­homerealm.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMobiland AGGeoSpockCNRSRealm, acquired by MongoDB in May 2019
Initial release2013201820132014
Current release4.1.0, June 20221.1.263, October 20222.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoLGPL 3.0Open Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, JavascriptJava
Server operating systemsLinuxWindowshostedAndroid
Backend: server-less
iOS
Windows
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesnotemporal, categoricalyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoANSI SQL for query only (using Presto)yesno
APIs and other access methodsJDBC
ODBC
.NET Client API
Proprietary client DLL
WinRT client
JDBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C#
C++
VB.Net
Java.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infobased on H2no inforuns within the applications so server-side scripts are unnecessary
Triggersnono, except callback-events from server when changes happenednoyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemAutomatic shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infobased on H2none
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 ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.nononoyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosWindows-ProfileAccess rights for users can be defined per tableyes infobased on H2yes

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More resources
Apache ImpalaDataFSGeoSpockH2GISRealm
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