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DBMS > Faircom DB vs. HugeGraph vs. Hypertable vs. Postgres-XL

System Properties Comparison Faircom DB vs. HugeGraph vs. Hypertable vs. Postgres-XL

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonHugeGraph  Xexclude from comparisonHypertable  Xexclude from comparisonPostgres-XL  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A fast-speed and highly-scalable Graph DBMSAn open source BigTable implementation based on distributed file systems such as HadoopBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelKey-value store
Relational DBMS
Graph DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.faircom.com/­products/­faircom-dbgithub.com/­hugegraph
hugegraph.apache.org
www.postgres-xl.org
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlhugegraph.apache.org/­docswww.postgres-xl.org/­documentation
DeveloperFairCom CorporationBaiduHypertable Inc.
Initial release1979201820092014 infosince 2012, originally named StormDB
Current releaseV12, November 20200.90.9.8.11, March 201610 R1, October 2018
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++JavaC++C
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
macOS
Unix
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Data schemeschema free, schema optional, schema required, partial schema,yesschema-freeyes
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesnoyes
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 infoXML type, but no XML query functionality
Secondary indexesyesyes infoalso supports composite index and range indexrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsnonoyes infodistributed, parallel query execution
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Java API
RESTful HTTP API
TinkerPop Gremlin
C++ API
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Groovy
Java
Python
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++asynchronous Gremlin script jobsnouser defined functions
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningyes infodepending on used storage backend, e.g. Cassandra and HBaseShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentACIDnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesUsers, roles and permissionsnofine grained access rights according to SQL-standard

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More resources
Faircom DB infoformerly c-treeACEHugeGraphHypertablePostgres-XL
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