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DBMS > Elasticsearch vs. Fauna vs. Google Cloud Spanner vs. Infobright vs. SiteWhere

System Properties Comparison Elasticsearch vs. Fauna vs. Google Cloud Spanner vs. Infobright vs. SiteWhere

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonInfobright  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendM2M integration platform for persisting/querying time series data
Primary database modelSearch engineDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.elastic.co/­elasticsearchfauna.comcloud.google.com/­spannerignitetech.com/­softwarelibrary/­infobrightdbgithub.com/­sitewhere/­sitewhere
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.fauna.comcloud.google.com/­spanner/­docssitewhere1.sitewhere.io/­index.html
DeveloperElasticFauna, Inc.GoogleIgnite Technologies Inc.; formerly InfoBright Inc.SiteWhere
Initial release20102014201720052010
Current release8.6, January 2023
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercialcommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaCJava
Server operating systemsAll OS with a Java VMhostedhostedLinux
Windows
Linux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyespredefined scheme
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyes infoAll search fields are automatically indexedyesyesno infoKnowledge Grid Technology used insteadno
SQL infoSupport of SQLSQL-like query languagenoyes infoQuery statements complying to ANSI 2011yesno
APIs and other access methodsJava API
RESTful HTTP/JSON API
RESTful HTTP APIgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP REST
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesuser defined functionsnono
Triggersyes infoby using the 'percolation' featurenonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoconsistent hashingShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationMulti-source replication with 3 replicas for regional instances.Source-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoStrict serializable isolationACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.Memcached and Redis integrationnonoyesno
User concepts infoAccess controlIdentity management, authentication, and access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesUsers with fine-grained authorization concept

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More resources
ElasticsearchFauna infopreviously named FaunaDBGoogle Cloud SpannerInfobrightSiteWhere
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