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DBMS > FatDB vs. Hazelcast vs. SiteWhere vs. Sqrrl

System Properties Comparison FatDB vs. Hazelcast vs. SiteWhere vs. Sqrrl

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonHazelcast  Xexclude from comparisonSiteWhere  Xexclude from comparisonSqrrl  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.A widely adopted in-memory data gridM2M integration platform for persisting/querying time series dataAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument store
Key-value store
Key-value storeTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitehazelcast.comgithub.com/­sitewhere/­sitewheresqrrl.com
Technical documentationhazelcast.org/­imdg/­docssitewhere1.sitewhere.io/­index.html
DeveloperFatCloudHazelcastSiteWhereAmazon infooriginally Sqrrl Data, Inc.
Initial release2012200820102012
Current release5.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoCommon Public Attribution License Version 1.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#JavaJavaJava
Server operating systemsWindowsAll OS with a Java VMLinux
OS X
Windows
Linux
Data schemeschema-freeschema-freepredefined schemeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infothe object must implement a serialization strategyno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query languagenono
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP RESTAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyes infovia applicationsyes infoEvent Listeners, Executor Servicesno
Triggersyes infovia applicationsyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBaseSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoReplicated Mapselectable replication factor infobased on HBaseselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitednoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlno infoCan implement custom security layer via applicationsRole-based access controlUsers with fine-grained authorization conceptCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
FatDBHazelcastSiteWhereSqrrl
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