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DBMS > Apache Impala vs. H2GIS vs. Memcached vs. Microsoft Azure Table Storage vs. NSDb

System Properties Comparison Apache Impala vs. H2GIS vs. Memcached vs. Microsoft Azure Table Storage vs. NSDb

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonH2GIS  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopSpatial extension of H2In-memory key-value store, originally intended for cachingA Wide Column Store for rapid development using massive semi-structured datasetsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSSpatial DBMSKey-value storeWide column storeTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websiteimpala.apache.orgwww.h2gis.orgwww.memcached.orgazure.microsoft.com/­en-us/­services/­storage/­tablesnsdb.io
Technical documentationimpala.apache.org/­impala-docs.htmlwww.h2gis.org/­docs/­homegithub.com/­memcached/­memcached/­wikinsdb.io/­Architecture
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCNRSDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoft
Initial release20132013200320122017
Current release4.1.0, June 20221.6.27, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoLGPL 3.0Open Source infoBSD licensecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCJava, Scala
Server operating systemsLinuxFreeBSD
Linux
OS X
Unix
Windows
hostedLinux
macOS
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes: int, bigint, decimal, string
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 indexesyesyesnonoall fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnonoSQL-like query language
APIs and other access methodsJDBC
ODBC
Proprietary protocolRESTful HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCJava.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infobased on H2nonono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infobased on H2none infoRepcached, a Memcached patch, provides this functionallityyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesnoyesUsing Apache Lucene
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 H2yes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights based on private key authentication or shared access signatures

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More resources
Apache ImpalaH2GISMemcachedMicrosoft Azure Table StorageNSDb
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