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DBMS > BigObject vs. Cachelot.io vs. etcd vs. eXtremeDB vs. StarRocks

System Properties Comparison BigObject vs. Cachelot.io vs. etcd vs. eXtremeDB vs. StarRocks

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCachelot.io  Xexclude from comparisonetcd  Xexclude from comparisoneXtremeDB  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesIn-memory caching systemA distributed reliable key-value storeNatively in-memory DBMS with options for persistency, high-availability and clusteringAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeKey-value storeRelational DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websitebigobject.iocachelot.ioetcd.io
github.com/­etcd-io/­etcd
www.mcobject.comwww.starrocks.io
Technical documentationdocs.bigobject.ioetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.mcobject.com/­docs/­extremedb.htmdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperBigObject, Inc.McObjectThe Linux Foundation infosince Feb 2023
Initial release2015201520012020
Current release3.4, August 20198.2, 20212.5.3, March 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoSimplified BSD LicenseOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC and C++C++, Java
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
FreeBSD
Linux
OS X
FreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyesyes
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.nononono infosupport of XML interfaces availableno
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes infowith the option: eXtremeSQLyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Memcached protocolgRPC
JSON over HTTP
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
MySQL protocol
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
Java
Server-side scripts infoStored proceduresLuanonoyesuser defined functions
Triggersnonoyes, watching key changesyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning / shardinghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyesno
User concepts infoAccess controlnononoRole based access control and fine grained access rights
More information provided by the system vendor
BigObjectCachelot.ioetcdeXtremeDBStarRocks
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BigObjectCachelot.ioetcdeXtremeDBStarRocks
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