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DBMS > Datastax Enterprise vs. InfluxDB vs. OrigoDB vs. RocksDB

System Properties Comparison Datastax Enterprise vs. InfluxDB vs. OrigoDB vs. RocksDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonInfluxDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.DBMS for storing time series, events and metricsA fully ACID in-memory object graph databaseEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelWide column storeTime Series DBMSDocument store
Object oriented DBMS
Key-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Spatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.31
Rank#57  Overall
#4  Wide column stores
Score26.56
Rank#28  Overall
#1  Time Series DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Score4.00
Rank#84  Overall
#11  Key-value stores
Websitewww.datastax.com/­products/­datastax-enterprisewww.influxdata.com/­products/­influxdb-overvieworigodb.comrocksdb.org
Technical documentationdocs.datastax.comdocs.influxdata.com/­influxdborigodb.com/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperDataStaxRobert Friberg et alFacebook, Inc.
Initial release201120132009 infounder the name LiveDB2013
Current release6.8, April 20202.7.5, January 20248.11.4, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen SourceOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaGoC#C++
Server operating systemsLinux
OS X
Linux
OS X infothrough Homebrew
Linux
Windows
Linux
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data and StringsUser defined using .NET types and collectionsno
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.nonono infocan be achieved using .NETno
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query languagenono
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HTTP API
JSON over UDP
.NET Client API
HTTP API
LINQ
C++ API
Java API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.NetC
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnonoyesno
Triggersyesnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infoin enterprise version onlyhorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingselectable replication factor infoin enterprise version onlySource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyesyes
User concepts infoAccess controlAccess rights for users can be defined per objectsimple rights management via user accountsRole based authorizationno
More information provided by the system vendor
Datastax EnterpriseInfluxDBOrigoDBRocksDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Time to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsAnnual subscription
» more
Open source core with closed source clustering available either on-premise or on...
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