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DBMS > Apache Impala vs. RocksDB vs. Rockset vs. Yanza

System Properties Comparison Apache Impala vs. RocksDB vs. Rockset vs. Yanza

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonRocksDB  Xexclude from comparisonRockset  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A scalable, reliable search and analytics service in the cloud, built on RocksDBTime Series DBMS for IoT Applications
Primary database modelRelational DBMSKey-value storeDocument storeTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Score1.07
Rank#180  Overall
#31  Document stores
Websiteimpala.apache.orgrocksdb.orgrockset.comyanza.com
Technical documentationimpala.apache.org/­impala-docs.htmlgithub.com/­facebook/­rocksdb/­wikidocs.rockset.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaFacebook, Inc.RocksetYanza
Initial release2013201320192015
Current release4.1.0, June 20229.4.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSDcommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonoyesno infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++
Server operating systemsLinuxLinuxhostedWindows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnodynamic typingno
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.nonono infoingestion from XML files supportedno
Secondary indexesyesnoall fields are automatically indexedno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoRead-only SQL queries, including JOINsno
APIs and other access methodsJDBC
ODBC
C++ API
Java API
HTTP RESTHTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Go
Java
Perl
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono
Triggersnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnono
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
Apache ImpalaRocksDBRocksetYanza
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