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DBMS > Databend vs. EXASOL vs. HugeGraph vs. JaguarDB

System Properties Comparison Databend vs. EXASOL vs. HugeGraph vs. JaguarDB

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonEXASOL  Xexclude from comparisonHugeGraph  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A fast-speed and highly-scalable Graph DBMSPerformant, highly scalable DBMS for AI and IoT applications
Primary database modelRelational DBMSRelational DBMSGraph DBMSKey-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.exasol.comgithub.com/­hugegraph
hugegraph.apache.org
www.jaguardb.com
Technical documentationdocs.databend.comwww.exasol.com/­resourceshugegraph.apache.org/­docswww.jaguardb.com/­support.html
DeveloperDatabend LabsExasolBaiduDataJaguar, Inc.
Initial release2021200020182015
Current release1.0.59, April 20230.93.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaC++ infothe server part. Clients available in other languages
Server operating systemshosted
Linux
macOS
Linux
macOS
Unix
Linux
Data schemeyesyesyesyes
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.nononono
Secondary indexesnoyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLyesyesnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Java
Lua
Python
R
Groovy
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsasynchronous Gremlin script jobsno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDno
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.yesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights for users, groups and roles according to SQL-standardUsers, roles and permissionsrights management via user accounts

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DatabendEXASOLHugeGraphJaguarDB
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