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DBMS > Amazon CloudSearch vs. Axibase vs. Elasticsearch vs. FatDB vs. Splice Machine

System Properties Comparison Amazon CloudSearch vs. Axibase vs. Elasticsearch vs. FatDB vs. Splice Machine

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAxibase  Xexclude from comparisonElasticsearch  Xexclude from comparisonFatDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationA 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 metricA .NET NoSQL DBMS that can integrate with and extend SQL Server.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelSearch engineTime Series DBMSSearch engineDocument store
Key-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteaws.amazon.com/­cloudsearchaxibase.com/­docs/­atsd/­financewww.elastic.co/­elasticsearchsplicemachine.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlsplicemachine.com/­how-it-works
DeveloperAmazonAxibase CorporationElasticFatCloudSplice Machine
Initial release20122013201020122014
Current release155858.6, January 20233.1, March 2021
License infoCommercial or Open Sourcecommercialcommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoElastic LicensecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC#Java
Server operating systemshostedLinuxAll OS with a Java VMWindowsLinux
OS X
Solaris
Windows
Data schemeyesyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyesyesyes
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.nono
Secondary indexesyes infoall search fields are automatically indexednoyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query languageno infoVia inetgration in SQL Serveryes
APIs and other access methodsHTTP APIJDBC
Proprietary protocol (Network API)
RESTful HTTP API
Java API
RESTful HTTP/JSON API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Java
PHP
Python
R
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyesyes infovia applicationsyes infoJava
Triggersnoyesyes infoby using the 'percolation' featureyes infovia applicationsyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationyesselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesES-Hadoop ConnectoryesYes, via Full Spark Integration
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, allEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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 integrationyes
User concepts infoAccess controlauthentication via encrypted signaturesno infoCan implement custom security layer via applicationsAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon CloudSearchAxibaseElasticsearchFatDBSplice Machine
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