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DBMS > Databend vs. Geode vs. HEAVY.AI

System Properties Comparison Databend vs. Geode vs. HEAVY.AI

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGeode  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 complexityGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelRelational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
geode.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdocs.databend.comgeode.apache.org/­docsdocs.heavy.ai
DeveloperDatabend LabsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.HEAVY.AI, Inc.
Initial release202120022016
Current release1.0.59, April 20231.1, February 20175.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaC++ and CUDA
Server operating systemshosted
Linux
macOS
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesnonono
SQL infoSupport of SQLyesSQL-like query language (OQL)yes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
All JVM based languages
C++
Groovy
Java
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights per client and object definablefine grained access rights according to SQL-standard

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