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DBMS > Databricks vs. Teradata vs. TerminusDB vs. VelocityDB vs. Vitess

System Properties Comparison Databricks vs. Teradata vs. TerminusDB vs. VelocityDB vs. Vitess

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonTeradata  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVelocityDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionThe 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.A hybrid cloud data analytics software platform (Teradata Vantage)Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store
Relational DBMS
Relational DBMSGraph DBMSGraph DBMS
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
RDF store
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.databricks.comwww.teradata.comterminusdb.comvelocitydb.comvitess.io
Technical documentationdocs.databricks.comdocs.teradata.comterminusdb.github.io/­terminusdb/­#velocitydb.com/­UserGuidevitess.io/­docs
DeveloperDatabricksTeradataDataChemist Ltd.VelocityDB IncThe Linux Foundation, PlanetScale
Initial release20131984201820112013
Current releaseTeradata Vantage 1.0 MU2, January 201911.0.0, January 20237.x15.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3commercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageProlog, RustC#Go
Server operating systemshostedhosted
Linux
LinuxAny that supports .NETDocker
Linux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesyesnono
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyesyes
SQL infoSupport of SQLwith Databricks SQLyes infoSQL 2016 + extensionsSQL-like query language (WOQL)noyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
.NetADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesPython
R
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
JavaScript
Python
.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoUDFs, stored procedures, table functions in parallelyesnoyes infoproprietary syntax
TriggersyesyesCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoHashingGraph PartitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Journaling StreamsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlBased on Windows AuthenticationUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
DatabricksTeradataTerminusDB infoformer name was DataChemistVelocityDBVitess
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksTeradataTerminusDB infoformer name was DataChemistVelocityDBVitess
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