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

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

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGraphite  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Data 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 RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelEvent StoreTime Series DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
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
Websitewww.eventstore.comgithub.com/­graphite-project/­graphite-webrockset.comspark.apache.org/­sql
Technical documentationdevelopers.eventstore.comgraphite.readthedocs.iodocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperEvent Store LimitedChris DavisRocksetApache Software Foundation
Initial release2012200620192014
Current release21.2, February 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++Scala
Server operating systemsLinux
Windows
Linux
Unix
hostedLinux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateNumeric data onlydynamic 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 indexesnoall fields are automatically indexedno
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsSQL-like DML and DDL statements
APIs and other access methodsHTTP API
Sockets
HTTP RESTJDBC
ODBC
Supported programming languagesJavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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 datanonono
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
EventStoreDBGraphiteRocksetSpark SQL
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