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DBMS > Amazon Aurora vs. Bangdb vs. Kinetica vs. OpenSearch

System Properties Comparison Amazon Aurora vs. Bangdb vs. Kinetica vs. OpenSearch

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonBangdb  Xexclude from comparisonKinetica  Xexclude from comparisonOpenSearch  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonConverged and high performance database for device data, events, time series, document and graphFully vectorized database across both GPUs and CPUsA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Relational DBMSSearch engine
Secondary database modelsDocument storeSpatial DBMSSpatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score16.31
Rank#36  Overall
#4  Search engines
Websiteaws.amazon.com/­rds/­aurorabangdb.comwww.kinetica.comgithub.com/­opensearch-project
opensearch.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.bangdb.comdocs.kinetica.comopensearch.org/­docs/­latest
DeveloperAmazonSachin Sinha, BangDBKineticaAmazon Web Services
Initial release2015201220122021
Current releaseBangDB 2.0, October 20217.1, August 20212.5.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageC, C++C, C++Java
Server operating systemshostedLinuxLinuxAll OS with a Java VM
Data schemeyesschema-freeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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.yesnono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesSQL like support with command line toolSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Java
Python
C++
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Server-side scripts infoStored proceduresyesnouser defined functionsyes
Triggersyesyes, Notifications (with Streaming only)yes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modeyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)Access rights for users and roles on table level
More information provided by the system vendor
Amazon AuroraBangdbKineticaOpenSearch
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more

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Amazon AuroraBangdbKineticaOpenSearch
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