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DBMS > Apache Impala vs. EJDB vs. GigaSpaces vs. H2GIS vs. Realm

System Properties Comparison Apache Impala vs. EJDB vs. GigaSpaces vs. H2GIS vs. Realm

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEJDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonH2GIS  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEmbeddable document-store database library with JSON representation of queries (in MongoDB style)High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsSpatial 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 DBMSDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Spatial DBMSDocument store
Secondary database modelsDocument storeGraph DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websiteimpala.apache.orggithub.com/­Softmotions/­ejdbwww.gigaspaces.comwww.h2gis.orgrealm.io
Technical documentationimpala.apache.org/­impala-docs.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.gigaspaces.com/­latest/­landing.htmlwww.h2gis.org/­docs/­homerealm.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSoftmotionsGigaspaces TechnologiesCNRSRealm, acquired by MongoDB in May 2019
Initial release20132012200020132014
Current release4.1.0, June 202215.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPLv2Open Source infoApache Version 2; Commercial licenses availableOpen Source infoLGPL 3.0Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJava, C++, .NetJava
Server operating systemsLinuxserver-lessLinux
macOS
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesyes
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.nono infoXML can be used for describing objects metadatanono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-99 for query and DML statementsyesno
APIs and other access methodsJDBC
ODBC
in-process shared libraryGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesAll languages supporting JDBC/ODBCActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C++
Java
Python
Scala
Java.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesyes infobased on H2no inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyes, event driven architectureyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infobased on H2none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes, 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.noyesyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoRole-based access controlyes infobased on H2yes

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Apache ImpalaEJDBGigaSpacesH2GISRealm
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