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DBMS > Apache Impala vs. H2GIS vs. KeyDB vs. MonetDB vs. Realm

System Properties Comparison Apache Impala vs. H2GIS vs. KeyDB vs. MonetDB vs. Realm

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonH2GIS  Xexclude from comparisonKeyDB  Xexclude from comparisonMonetDB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopSpatial extension of H2An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA relational database management system that stores data in columnsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSSpatial DBMSKey-value storeRelational 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
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websiteimpala.apache.orgwww.h2gis.orggithub.com/­Snapchat/­KeyDB
keydb.dev
www.monetdb.orgrealm.io
Technical documentationimpala.apache.org/­impala-docs.htmlwww.h2gis.org/­docs/­homedocs.keydb.devwww.monetdb.org/­Documentationrealm.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCNRSEQ Alpha Technology Ltd.MonetDB BVRealm, acquired by MongoDB in May 2019
Initial release20132013201920042014
Current release4.1.0, June 2022Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoLGPL 3.0Open Source infoBSD-3Open Source infoMozilla Public License 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++C
Server operating systemsLinuxLinuxFreeBSD
Linux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
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 indexesyesyesyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyes infoSQL 2003 with some extensionsno
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJavaC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infobased on H2Luayes, in SQL, C, Rno inforuns within the applications so server-side scripts are unnecessary
Triggersnoyesnoyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infobased on H2Multi-source replication
Source-replica replication
none infoSource-replica replication available in experimental statusnone
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
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDOptimistic locking, atomic execution of commands blocks and scriptsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
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 H2simple password-based access control and ACLfine grained access rights according to SQL-standardyes

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More resources
Apache ImpalaH2GISKeyDBMonetDBRealm
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