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DBMS > Databend vs. Ehcache vs. H2GIS vs. HEAVY.AI

System Properties Comparison Databend vs. Ehcache vs. H2GIS vs. HEAVY.AI

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonEhcache  Xexclude from comparisonH2GIS  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  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 complexityA widely adopted Java cache with tiered storage optionsSpatial extension of H2A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelRelational DBMSKey-value storeSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.ehcache.orgwww.h2gis.orggithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdocs.databend.comwww.ehcache.org/­documentationwww.h2gis.org/­docs/­homedocs.heavy.ai
DeveloperDatabend LabsTerracotta Inc, owned by Software AGCNRSHEAVY.AI, Inc.
Initial release2021200920132016
Current release1.0.59, April 20233.10.0, March 20225.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoLGPL 3.0Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaJavaC++ and CUDA
Server operating systemshosted
Linux
macOS
All OS with a Java VMLinux
Data schemeyesschema-freeyesyes
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 indexesnonoyesno
SQL infoSupport of SQLyesnoyesyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JCacheJDBC
ODBC
Thrift
Vega
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
JavaJavaAll languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnonoyes infobased on H2no
Triggersnoyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServernoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta Serveryes infobased on H2Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes infosupports JTA and can work as an XA resourceACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnoyes infobased on H2fine grained access rights according to SQL-standard

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More resources
DatabendEhcacheH2GISHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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