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DBMS > LeanXcale vs. Rockset vs. VelocityDB vs. Yaacomo

System Properties Comparison LeanXcale vs. Rockset vs. VelocityDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonRockset  Xexclude from comparisonVelocityDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA scalable, reliable search and analytics service in the cloud, built on RocksDBA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value store
Relational DBMS
Document storeGraph DBMS
Object oriented DBMS
Relational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.leanxcale.comrockset.comvelocitydb.comyaacomo.com
Technical documentationdocs.rockset.comvelocitydb.com/­UserGuide
DeveloperLeanXcaleRocksetVelocityDB IncQ2WEB GmbH
Initial release2015201920112009
Current release7.x
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#
Server operating systemshostedAny that supports .NETAndroid
Linux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or datedynamic typingyesyes
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.no infoingestion from XML files supportednono
Secondary indexesall fields are automatically indexedyesyes
SQL infoSupport of SQLyes infothrough Apache DerbyRead-only SQL queries, including JOINsnoyes
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP REST.NetJDBC
ODBC
Supported programming languagesC
Java
Scala
Go
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresnono
TriggersnoCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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.yesyesyes
User concepts infoAccess controlAccess rights for users and organizations can be defined via Rockset consoleBased on Windows Authenticationfine grained access rights according to SQL-standard

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More resources
LeanXcaleRocksetVelocityDBYaacomo
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