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DBMS > CrateDB vs. FatDB vs. FileMaker vs. HBase

System Properties Comparison CrateDB vs. FatDB vs. FileMaker vs. HBase

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonFatDB  Xexclude from comparisonFileMaker  Xexclude from comparisonHBase  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionDistributed Database based on LuceneA .NET NoSQL DBMS that can integrate with and extend SQL Server.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Wide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Document store
Key-value store
Relational DBMSWide column store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Websitecratedb.comwww.claris.com/­filemakerhbase.apache.org
Technical documentationcratedb.com/­docswww.claris.com/­resources/­documentationhbase.apache.org/­book.html
DeveloperCrateFatCloudClaris infoa subsidiary of AppleApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release2013201219832008
Current release19.4.1, November 20212.3.4, January 2021
License infoCommercial or Open SourceOpen SourcecommercialcommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#Java
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportWindowsiOS infoclient part only
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVRO
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.noyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityno infoVia inetgration in SQL Serveryes infovia pluginsno
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Filemaker WebDirect
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
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
C#PHPC
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresuser defined functions (Javascript)yes infovia applicationsyesyes infoCoprocessors in Java
Triggersnoyes infovia applicationsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelselectable replication factorSource-replica replication, warm standby infosince Version 14Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Eventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategynonoSingle row ACID (across millions of columns)
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.noyes
User concepts infoAccess controlrights management via user accountsno infoCan implement custom security layer via applicationssimple rights management via user accounts and connection to external directory servicesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
CrateDBFatDBFileMakerHBase
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