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DBMS > Graphite vs. Rockset vs. Speedb vs. Transwarp ArgoDB

System Properties Comparison Graphite vs. Rockset vs. Speedb vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonRockset  Xexclude from comparisonSpeedb  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA scalable, reliable search and analytics service in the cloud, built on RocksDBAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelTime Series DBMSDocument storeKey-value storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.21
Rank#315  Overall
#45  Key-value stores
Score0.07
Rank#350  Overall
#153  Relational DBMS
Websitegithub.com/­graphite-project/­graphite-webrockset.comwww.speedb.iowww.transwarp.cn/­en/­product/­argodb
Technical documentationgraphite.readthedocs.iodocs.rockset.comdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperChris DavisRocksetSpeedbTranswarp
Initial release200620192020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0; commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++C++
Server operating systemsLinux
Unix
hostedLinux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateNumeric data onlydynamic typingnoyes
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.nono infoingestion from XML files supportedno
Secondary indexesnoall fields are automatically indexednoyes
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsnoyes
APIs and other access methodsHTTP API
Sockets
HTTP REST
Supported programming languagesJavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyesyes
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.yes
User concepts infoAccess controlnoAccess rights for users and organizations can be defined via Rockset consoleno
More information provided by the system vendor
GraphiteRocksetSpeedbTranswarp ArgoDB
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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More resources
GraphiteRocksetSpeedbTranswarp ArgoDB
DB-Engines blog posts

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Try out the Graphite monitoring tool for time-series data
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The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data
10 December 2018, Uber

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