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DBMS > Apache Doris vs. CrateDB vs. FileMaker vs. HugeGraph

System Properties Comparison Apache Doris vs. CrateDB vs. FileMaker vs. HugeGraph

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonCrateDB  Xexclude from comparisonFileMaker  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolDistributed Database based on LuceneFileMaker is a cross-platform RDBMS that includes a GUI frontend.A fast-speed and highly-scalable Graph DBMS
Primary database modelRelational DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
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
Score0.17
Rank#335  Overall
#31  Graph DBMS
Websitedoris.apache.org
github.com/­apache/­doris
cratedb.comwww.claris.com/­filemakergithub.com/­hugegraph
hugegraph.apache.org
Technical documentationgithub.com/­apache/­doris/­wikicratedb.com/­docswww.claris.com/­resources/­documentationhugegraph.apache.org/­docs
DeveloperApache Software Foundation, originally contributed from BaiduCrateClaris infoa subsidiary of AppleBaidu
Initial release2017201319832018
Current release1.2.2, February 202319.4.1, November 20210.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourcecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsLinuxAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportiOS infoclient part only
Linux
OS X
Windows
Linux
macOS
Unix
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLyesyes, but no triggers and constraints, and PostgreSQL compatibilityyes infovia pluginsno
APIs and other access methodsJDBC
MySQL client
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesJava.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
PHPGroovy
Java
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functions (Javascript)yesasynchronous Gremlin script jobs
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneConfigurable replication on table/partition-levelSource-replica replication, warm standby infosince Version 14yes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Eventual Consistency
Foreign keys infoReferential integritynonoyesyes infoedges in graph
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 strategynoACID
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountssimple rights management via user accounts and connection to external directory servicesUsers, roles and permissions

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More resources
Apache DorisCrateDBFileMakerHugeGraph
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