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DBMS > Databricks vs. Dgraph vs. EXASOL vs. TiDB

System Properties Comparison Databricks vs. Dgraph vs. EXASOL vs. TiDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDgraph  Xexclude from comparisonEXASOL  Xexclude from comparisonTiDB  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.Distributed and scalable native Graph DBMSHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.TiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
Primary database modelDocument store
Relational DBMS
Graph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score1.39
Rank#155  Overall
#15  Graph DBMS
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score4.09
Rank#72  Overall
#38  Relational DBMS
Websitewww.databricks.comdgraph.iowww.exasol.compingcap.com
Technical documentationdocs.databricks.comdgraph.io/­docswww.exasol.com/­resourcesdocs.pingcap.com/­tidb/­stable
DeveloperDatabricksDgraph Labs, Inc.ExasolPingCAP, Inc.
Initial release2013201620002016
Current release8.2.0, July 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageGoGo, Rust
Server operating systemshostedLinux
OS X
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
.Net
JDBC
ODBC
WebSocket
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesPython
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Lua
Python
R
Ada
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 aggregatesnouser defined functionsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via RaftUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users, groups and roles according to SQL-standardFine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksDgraphEXASOLTiDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
TiDB is an advanced open-source, distributed SQL database for modern application...
» more
Competitive advantages- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Typical application scenariosTiDB is ideal for transactional applications that require extreme scalability and...
» more
Key customersBlock, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metrics34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsTiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DatabricksDgraphEXASOLTiDB
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