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DBMS > Amazon Redshift vs. Kinetica vs. RocksDB vs. Spark SQL vs. StarRocks

System Properties Comparison Amazon Redshift vs. Kinetica vs. RocksDB vs. Spark SQL vs. StarRocks

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonKinetica  Xexclude from comparisonRocksDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsFully vectorized database across both GPUs and CPUsEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Spark SQL is a component on top of 'Spark Core' for structured data processingAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.kinetica.comrocksdb.orgspark.apache.org/­sqlwww.starrocks.io
Technical documentationdocs.aws.amazon.com/­redshiftdocs.kinetica.comgithub.com/­facebook/­rocksdb/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperAmazon (based on PostgreSQL)KineticaFacebook, Inc.Apache Software FoundationThe Linux Foundation infosince Feb 2023
Initial release20122012201320142020
Current release7.1, August 20218.11.4, April 20243.5.0 ( 2.13), September 20232.5.3, March 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, C++C++ScalaC++, Java
Server operating systemshostedLinuxLinuxLinux
OS X
Windows
Linux
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonononono
Secondary indexesrestrictedyesnonoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsnoSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
JDBC
ODBC
JDBC
MySQL protocol
Supported programming languagesAll languages supporting JDBC/ODBCC++
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
Perl
Python
Ruby
Java
Python
R
Scala
Java
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functionsnonouser defined functions
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningyes, utilizing Spark Corehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelnonoRole based access control and fine grained access rights

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3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
Amazon RedshiftKineticaRocksDBSpark SQLStarRocks
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