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DBMS > chDB vs. Faircom EDGE vs. Hive vs. HugeGraph vs. TinkerGraph

System Properties Comparison chDB vs. Faircom EDGE vs. Hive vs. HugeGraph vs. TinkerGraph

Editorial information provided by DB-Engines
NamechDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHive  Xexclude from comparisonHugeGraph  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionAn embedded SQL OLAP Engine powered by ClickHouseFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsdata warehouse software for querying and managing large distributed datasets, built on HadoopA fast-speed and highly-scalable Graph DBMSA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSGraph DBMSGraph DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#376  Overall
#158  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitegithub.com/­chdb-io/­chdbwww.faircom.com/­products/­faircom-edgehive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
tinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdoc.chdb.iodocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docs
DeveloperFairCom CorporationApache Software Foundation infoinitially developed by FacebookBaidu
Initial release20231979201220182009
Current releaseV3, October 20203.1.3, April 20220.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoRestricted, free version availableOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++JavaJavaJava
Server operating systemsserver-lessAndroid
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VMLinux
macOS
Unix
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesyes
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.yesnono
Secondary indexesyesyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)yes infoANSI SQL queriesSQL-like DML and DDL statementsnono
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
TinkerPop 3
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C++
Java
PHP
Python
Groovy
Java
Python
Groovy
Java
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobsno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducevia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyes infowhen using SQLnoyes infoedges in graphyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and rolesUsers, roles and permissionsno

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More resources
chDBFaircom EDGE infoformerly c-treeEDGEHiveHugeGraphTinkerGraph
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