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DBMS > Amazon Redshift vs. FeatureBase vs. Graph Engine vs. OpenTSDB vs. TerarkDB

System Properties Comparison Amazon Redshift vs. FeatureBase vs. Graph Engine vs. OpenTSDB vs. TerarkDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonFeatureBase  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonOpenTSDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineScalable Time Series DBMS based on HBaseA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Key-value store
Time Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteaws.amazon.com/­redshiftwww.featurebase.comwww.graphengine.ioopentsdb.netgithub.com/­bytedance/­terarkdb
Technical documentationdocs.aws.amazon.com/­redshiftdocs.featurebase.comwww.graphengine.io/­docs/­manualopentsdb.net/­docs/­build/­html/­index.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAmazon (based on PostgreSQL)Molecula and Pilosa Open Source ContributorsMicrosoftcurrently maintained by Yahoo and other contributorsByteDance, originally Terark
Initial release20122017201020112016
Current release2022, May 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT LicenseOpen Source infoLGPLcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCGo.NET and CJavaC++
Server operating systemshostedLinux
macOS
.NETLinux
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnumeric data for metrics, strings for tagsno
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 indexesrestrictednonono
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL queriesnonono
APIs and other access methodsJDBC
ODBC
gRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP APIHTTP API
Telnet API
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBCJava
Python
C#
C++
F#
Visual Basic
Erlang
Go
Java
Python
R
Ruby
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyesnono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnono

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More resources
Amazon RedshiftFeatureBaseGraph Engine infoformer name: TrinityOpenTSDBTerarkDB
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