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DBMS > BigchainDB vs. Databricks vs. Riak KV vs. Teradata vs. TimesTen

System Properties Comparison BigchainDB vs. Databricks vs. Riak KV vs. Teradata vs. TimesTen

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDatabricks  Xexclude from comparisonRiak KV  Xexclude from comparisonTeradata  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Distributed, fault tolerant key-value storeA hybrid cloud data analytics software platform (Teradata Vantage)In-Memory RDBMS compatible to Oracle
Primary database modelDocument storeDocument store
Relational DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSRelational DBMS
Secondary database modelsDocument 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
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitewww.bigchaindb.comwww.databricks.comwww.teradata.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.databricks.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.teradata.comdocs.oracle.com/­database/­timesten-18.1
DeveloperDatabricksOpenSource, formerly Basho TechnologiesTeradataOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20162013200919841998
Current release3.2.0, December 2022Teradata Vantage 1.0 MU2, January 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoApache version 2, commercial enterprise editioncommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonErlang
Server operating systemsLinuxhostedLinux
OS X
hosted
Linux
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or datenonoyesyes
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.noyesnoyesno
Secondary indexesyesrestrictedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnowith Databricks SQLnoyes infoSQL 2016 + extensionsyes
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Python
R
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functions and aggregatesErlangyes infoUDFs, stored procedures, table functions in parallelPL/SQL
Triggersyes infopre-commit hooks and post-commit hooksyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"Sharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesselectable replication factorMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono infolinks between data sets can be storedyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlyesyes, using Riak Securityfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
BigchainDBDatabricksRiak KVTeradataTimesTen
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BigchainDBDatabricksRiak KVTeradataTimesTen
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