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DBMS > GeoMesa vs. Graphite vs. Solr vs. Sphinx vs. Sqrrl

System Properties Comparison GeoMesa vs. Graphite vs. Solr vs. Sphinx vs. Sqrrl

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGraphite  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databasesAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelSpatial DBMSTime Series DBMSSearch engineSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.geomesa.orggithub.com/­graphite-project/­graphite-websolr.apache.orgsphinxsearch.comsqrrl.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlgraphite.readthedocs.iosolr.apache.org/­resources.htmlsphinxsearch.com/­docs
DeveloperCCRi and othersChris DavisApache Software FoundationSphinx Technologies Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release20142006200620012012
Current release5.0.0, May 20249.6.1, May 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infoApache Version 2Open Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaPythonJavaC++Java
Server operating systemsLinux
Unix
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyes infosupports customizable data types and automatic typingnoyes
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.nonoyes
Secondary indexesyesnoyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)no
APIs and other access methodsHTTP API
Sockets
Java API
RESTful HTTP/JSON API
Proprietary protocolAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesJavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnonoJava pluginsnono
Triggersnonoyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernoneyesnoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layernoneEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic lockingnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryes
User concepts infoAccess controlyes infodepending on the DBMS used for storagenoyesnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
GeoMesaGraphiteSolrSphinxSqrrl
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