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DBMS > RisingWave vs. Rockset vs. Yaacomo

System Properties Comparison RisingWave vs. Rockset vs. Yaacomo

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Editorial information provided by DB-Engines
NameRisingWave  Xexclude from comparisonRockset  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA distributed RDBMS for stream processing, wire-compatible with PostgreSQLA scalable, reliable search and analytics service in the cloud, built on RocksDBOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitewww.risingwave.com/­databaserockset.comyaacomo.com
Technical documentationdocs.risingwave.com/­docs/­current/­introdocs.rockset.com
DeveloperRisingWave LabsRocksetQ2WEB GmbH
Initial release202220192009
Current release1.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++
Server operating systemsDocker
Linux
macOS
hostedAndroid
Linux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateStandard SQL-types and JSONdynamic typingyes
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 infoingestion from XML files supportedno
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLyesRead-only SQL queries, including JOINsyes
APIs and other access methodsJDBC
PostgreSQL wire protocol
HTTP RESTJDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresUDFs in Python or Javano
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers and RolesAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standard

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More resources
RisingWaveRocksetYaacomo
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