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DBMS > Apache Impala vs. H2GIS vs. Microsoft Azure Table Storage vs. Riak KV vs. XTDB

System Properties Comparison Apache Impala vs. H2GIS vs. Microsoft Azure Table Storage vs. Riak KV vs. XTDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonH2GIS  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRiak KV  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopSpatial extension of H2A Wide Column Store for rapid development using massive semi-structured datasetsDistributed, fault tolerant key-value storeA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSSpatial DBMSWide column storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesDocument store
Secondary database modelsDocument storeRelational 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
Score4.48
Rank#75  Overall
#6  Wide column stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.11
Rank#343  Overall
#46  Document stores
Websiteimpala.apache.orgwww.h2gis.orgazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.h2gis.org/­docs/­homewww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.xtdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCNRSMicrosoftOpenSource, formerly Basho TechnologiesJuxt Ltd.
Initial release20132013201220092019
Current release4.1.0, June 20223.2.0, December 20221.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoLGPL 3.0commercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaErlangClojure
Server operating systemsLinuxhostedLinux
OS X
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes, extensible-data-notation format
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 indexesyesyesnorestrictedyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnonolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIHTTP API
Native Erlang Interface
HTTP REST
JDBC
Supported programming languagesAll languages supporting JDBC/ODBCJava.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Clojure
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infobased on H2noErlangno
Triggersnoyesnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud serviceSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infobased on H2yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factoryes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infobased on H2Access rights based on private key authentication or shared access signaturesyes, using Riak Security

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More resources
Apache ImpalaH2GISMicrosoft Azure Table StorageRiak KVXTDB infoformerly named Crux
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