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DBMS > Cachelot.io vs. Databend vs. Hive

System Properties Comparison Cachelot.io vs. Databend vs. Hive

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonDatabend  Xexclude from comparisonHive  Xexclude from comparison
DescriptionIn-memory caching systemAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexitydata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websitecachelot.iogithub.com/­datafuselabs/­databend
www.databend.com
hive.apache.org
Technical documentationdocs.databend.comcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperDatabend LabsApache Software Foundation infoinitially developed by Facebook
Initial release201520212012
Current release1.0.59, April 20233.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++RustJava
Server operating systemsFreeBSD
Linux
OS X
hosted
Linux
macOS
All OS with a Java VM
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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.nono
Secondary indexesnonoyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statements
APIs and other access methodsMemcached protocolCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduce
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoUsers with fine-grained authorization concept, user rolesAccess rights for users, groups and roles

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Cachelot.ioDatabendHive
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