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DBMS > Databend vs. Sphinx vs. Teradata vs. TerminusDB vs. VelocityDB

System Properties Comparison Databend vs. Sphinx vs. Teradata vs. TerminusDB vs. VelocityDB

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVelocityDB  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 complexityOpen source search engine for searching in data from different sources, e.g. relational databasesA 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)
Primary database modelRelational DBMSSearch engineRelational DBMSGraph DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
sphinxsearch.comwww.teradata.comterminusdb.comvelocitydb.com
Technical documentationdocs.databend.comsphinxsearch.com/­docsdocs.teradata.comterminusdb.github.io/­terminusdb/­#velocitydb.com/­UserGuide
DeveloperDatabend LabsSphinx Technologies Inc.TeradataDataChemist Ltd.VelocityDB Inc
Initial release20212001198420182011
Current release1.0.59, April 20233.5.1, February 2023Teradata Vantage 1.0 MU2, January 201911.0.0, January 20237.x
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence availablecommercialOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC++Prolog, RustC#
Server operating systemshosted
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Linux
LinuxAny that supports .NET
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.noyesnono
Secondary indexesnoyes infofull-text index on all search fieldsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLyesSQL-like query language (SphinxQL)yes infoSQL 2016 + extensionsSQL-like query language (WOQL)no
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Proprietary protocol.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
.Net
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
JavaScript
Python
.Net
Server-side scripts infoStored proceduresnonoyes infoUDFs, stored procedures, table functions in parallelyesno
TriggersnonoyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHashingGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnofine grained access rights according to SQL-standardRole-based access controlBased on Windows Authentication

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More resources
DatabendSphinxTeradataTerminusDB infoformer name was DataChemistVelocityDB
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