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DBMS > Databend vs. Faircom DB vs. IBM Db2 warehouse vs. Kinetica

System Properties Comparison Databend vs. Faircom DB vs. IBM Db2 warehouse vs. Kinetica

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonKinetica  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 complexityNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Cloud-based data warehousing serviceFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.faircom.com/­products/­faircom-dbwww.ibm.com/­products/­db2/­warehousewww.kinetica.com
Technical documentationdocs.databend.comdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.kinetica.com
DeveloperDatabend LabsFairCom CorporationIBMKinetica
Initial release2021197920142012
Current release1.0.59, April 2023V12, November 20207.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoRestricted, free version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustANSI C, C++C, C++
Server operating systemshosted
Linux
macOS
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
hostedLinux
Data schemeyesschema free, schema optional, schema required, partial schema,yesyes
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesyes
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 infoImport/export of XML data possibleno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesyes, ANSI SQL with proprietary extensionsyesSQL-like DML and DDL statements
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++PL/SQL, SQL PLuser defined functions
Triggersnoyesyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayestunable from ACID to Eventually ConsistentACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesFine grained access rights according to SQL-standard with additional protections for filesfine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
DatabendFaircom DB infoformerly c-treeACEIBM Db2 warehouse infoformerly named IBM dashDBKinetica
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