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DBMS > BigObject vs. CrateDB vs. Ehcache vs. Rockset

System Properties Comparison BigObject vs. CrateDB vs. Ehcache vs. Rockset

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCrateDB  Xexclude from comparisonEhcache  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesDistributed Database based on LuceneA widely adopted Java cache with tiered storage optionsA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Key-value storeDocument store
Secondary database modelsRelational DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.82
Rank#212  Overall
#36  Document stores
Websitebigobject.iocratedb.comwww.ehcache.orgrockset.com
Technical documentationdocs.bigobject.iocratedb.com/­docswww.ehcache.org/­documentationdocs.rockset.com
DeveloperBigObject, Inc.CrateTerracotta Inc, owned by Software AGRockset
Initial release2015201320092019
Current release3.10.0, March 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen SourceOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAll OS with a Java VMhosted
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesyesyesnoall fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsyes, but no triggers and constraints, and PostgreSQL compatibilitynoRead-only SQL queries, including JOINs
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JCacheHTTP REST
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
JavaGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuauser defined functions (Javascript)nono
Triggersnonoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoby using Terracotta ServerAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneConfigurable replication on table/partition-levelyes infoby using Terracotta Serveryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Read-after-write consistency on record level
Tunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infounique row identifiers can be used for implementing an optimistic concurrency control strategyyes infosupports JTA and can work as an XA resourceno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnorights management via user accountsnoAccess rights for users and organizations can be defined via Rockset console

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More resources
BigObjectCrateDBEhcacheRockset
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