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DBMS > BigObject vs. Databend vs. Drizzle vs. EsgynDB vs. Kinetica

System Properties Comparison BigObject vs. Databend vs. Drizzle vs. EsgynDB vs. Kinetica

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDatabend  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonKinetica  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for real-time computations and queriesAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitebigobject.iogithub.com/­datafuselabs/­databend
www.databend.com
www.esgyn.cnwww.kinetica.com
Technical documentationdocs.bigobject.iodocs.databend.comdocs.kinetica.com
DeveloperBigObject, Inc.Databend LabsDrizzle project, originally started by Brian AkerEsgynKinetica
Initial release20152021200820152012
Current release1.0.59, April 20237.2.4, September 20127.1, August 2021
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2.0Open Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++C++, JavaC, C++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hosted
Linux
macOS
FreeBSD
Linux
OS X
LinuxLinux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infowith proprietary extensionsyesSQL-like DML and DDL statements
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
CLI Client
JDBC
RESTful HTTP API
JDBCADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.NetC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuanonoJava Stored Proceduresuser defined functions
Triggersnonono infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoUsers with fine-grained authorization concept, user rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
BigObjectDatabendDrizzleEsgynDBKinetica
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