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DBMS > Graphite vs. Hypertable vs. Rockset vs. Spark SQL

System Properties Comparison Graphite vs. Hypertable vs. Rockset vs. Spark SQL

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Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonHypertable  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperAn open source BigTable implementation based on distributed file systems such as HadoopA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSWide column storeDocument storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­graphite-project/­graphite-webrockset.comspark.apache.org/­sql
Technical documentationgraphite.readthedocs.iodocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperChris DavisHypertable Inc.RocksetApache Software Foundation
Initial release2006200920192014
Current release0.9.8.11, March 20163.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++C++Scala
Server operating systemsLinux
Unix
Linux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateNumeric data onlynodynamic typingyes
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 indexesnorestricted infoonly exact value or prefix value scansall fields are automatically indexedno
SQL infoSupport of SQLnonoRead-only SQL queries, including JOINsSQL-like DML and DDL statements
APIs and other access methodsHTTP API
Sockets
C++ API
Thrift
HTTP RESTJDBC
ODBC
Supported programming languagesJavaScript (Node.js)
Python
C++
Java
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor on file system levelyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
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.no
User concepts infoAccess controlnonoAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
GraphiteHypertableRocksetSpark SQL
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