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DBMS > Citus vs. LevelDB vs. SiteWhere vs. Sqrrl

System Properties Comparison Citus vs. LevelDB vs. SiteWhere vs. Sqrrl

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonLevelDB  Xexclude from comparisonSiteWhere  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.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesM2M integration platform for persisting/querying time series dataAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSKey-value storeTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websitewww.citusdata.comgithub.com/­google/­leveldbgithub.com/­sitewhere/­sitewheresqrrl.com
Technical documentationdocs.citusdata.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdsitewhere1.sitewhere.io/­index.html
DeveloperGoogleSiteWhereAmazon infooriginally Sqrrl Data, Inc.
Initial release2010201120102012
Current release8.1, December 20181.23, February 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoBSDOpen 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 languageCC++JavaJava
Server operating systemsLinuxIllumos
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeyesschema-freepredefined schemeschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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 infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnonono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP RESTAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on HBaseSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsnoneselectable replication factor infobased on HBaseselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers 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
CitusLevelDBSiteWhereSqrrl
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