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DBMS > Databend vs. Datastax Enterprise vs. jBASE vs. Prometheus

System Properties Comparison Databend vs. Datastax Enterprise vs. jBASE vs. Prometheus

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonjBASE  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDataStax 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.A robust multi-value DBMS comprising development tools and middlewareOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSWide column storeMultivalue DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score5.93
Rank#56  Overall
#4  Wide column stores
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.datastax.com/­products/­datastax-enterprisewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseprometheus.io
Technical documentationdocs.databend.comdocs.datastax.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9prometheus.io/­docs
DeveloperDatabend LabsDataStaxRocket Software (formerly Zumasys)
Initial release2021201119912015
Current release1.0.59, April 20236.8, April 20205.7
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache 2.0
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.
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Implementation languageRustJavaGo
Server operating systemshosted
Linux
macOS
Linux
OS X
AIX
Linux
Windows
Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesoptionalNumeric data only
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.nonoyesno infoImport of XML data possible
Secondary indexesnoyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statements (CQL); Spark SQLEmbedded SQL for jBASE in BASICno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Basic
Jabbascript
Java
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonoyesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingyesyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
none
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoAtomicity and isolation are supported for single operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights for users can be defined per objectAccess rights can be defined down to the item levelno
More information provided by the system vendor
DatabendDatastax EnterprisejBASEPrometheus
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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DatabendDatastax EnterprisejBASEPrometheus
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