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DBMS > Amazon Redshift vs. Kinetica vs. Transwarp Hippo vs. YottaDB

System Properties Comparison Amazon Redshift vs. Kinetica vs. Transwarp Hippo vs. YottaDB

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonKinetica  Xexclude from comparisonTranswarp Hippo  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsFully vectorized database across both GPUs and CPUsCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasetsA fast and solid embedded Key-value store
Primary database modelRelational DBMSRelational DBMSVector DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.05
Rank#386  Overall
#16  Vector DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websiteaws.amazon.com/­redshiftwww.kinetica.comwww.transwarp.cn/­en/­subproduct/­hippoyottadb.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.kinetica.comyottadb.com/­resources/­documentation
DeveloperAmazon (based on PostgreSQL)KineticaYottaDB, LLC
Initial release2012201220232001
Current release7.1, August 20211.0, May 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, C++C++C
Server operating systemshostedLinuxLinux
macOS
Docker
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringno
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.nononono
Secondary indexesrestrictedyesnono
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsnoby using the Octo plugin
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCC++
Java
JavaScript (Node.js)
Python
C++
Java
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functionsno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes
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 systemyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelRole based access control and fine grained access rightsUsers and groups based on OS-security mechanisms

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More resources
Amazon RedshiftKineticaTranswarp HippoYottaDB
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