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DBMS > BigchainDB vs. HEAVY.AI vs. KairosDB vs. PlanetScale vs. Teradata

System Properties Comparison BigchainDB vs. HEAVY.AI vs. KairosDB vs. PlanetScale vs. Teradata

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKairosDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDistributed Time Series DBMS based on Cassandra or H2Scalable, distributed, serverless MySQL database platform built on top of VitessA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.bigchaindb.comgithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­kairosdb/­kairosdbplanetscale.comwww.teradata.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.heavy.aikairosdb.github.ioplanetscale.com/­docsdocs.teradata.com
DeveloperHEAVY.AI, Inc.PlanetScaleTeradata
Initial release20162016201320201984
Current release5.10, January 20221.2.2, November 2018Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++ and CUDAJavaGo
Server operating systemsLinuxLinuxLinux
OS X
Windows
Docker
Linux
macOS
hosted
Linux
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononoyes
Secondary indexesnonoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyesnoyes infowith proprietary extensionsyes infoSQL 2016 + extensions
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
Graphite protocol
HTTP REST
Telnet API
ADO.NET
JDBC
MySQL protocol
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Java
JavaScript infoNode.js
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyes infoproprietary syntaxyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinSharding infobased on CassandraShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardsimple password-based access controlUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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