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DBMS > BigObject vs. Datastax Enterprise vs. Fujitsu Enterprise Postgres vs. Prometheus

System Properties Comparison BigObject vs. Datastax Enterprise vs. Fujitsu Enterprise Postgres vs. Prometheus

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesDataStax 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.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Open-source Time Series DBMS and monitoring system
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedWide column storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score5.93
Rank#56  Overall
#4  Wide column stores
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitebigobject.iowww.datastax.com/­products/­datastax-enterprisewww.postgresql.fastware.comprometheus.io
Technical documentationdocs.bigobject.iodocs.datastax.comwww.postgresql.fastware.com/­product-manualsprometheus.io/­docs
DeveloperBigObject, Inc.DataStaxPostgreSQL Global Development Group, Fujitsu Australia Software Technology
Initial release201520112015
Current release6.8, April 2020Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCGo
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Linux
Windows
Linux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric 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.nonono infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statements (CQL); Spark SQLyesno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresLuanouser defined functionsno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"partitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistencynone
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes, multi-version concurrency control (MVCC)yes
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 controlnoAccess rights for users can be defined per objectfine grained access rights according to SQL-standardno
More information provided by the system vendor
BigObjectDatastax EnterpriseFujitsu Enterprise PostgresPrometheus
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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BigObjectDatastax EnterpriseFujitsu Enterprise PostgresPrometheus
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