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DBMS > Databricks vs. Dgraph vs. Memgraph vs. TiDB

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

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDgraph  Xexclude from comparisonMemgraph  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 DBMSAn open source graph database built for real-time streaming and compatible with Neo4jTiDB 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 DBMSGraph 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
Score2.91
Rank#94  Overall
#7  Graph DBMS
Score4.09
Rank#72  Overall
#38  Relational DBMS
Websitewww.databricks.comdgraph.iomemgraph.compingcap.com
Technical documentationdocs.databricks.comdgraph.io/­docsmemgraph.com/­docsdocs.pingcap.com/­tidb/­stable
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperDatabricksDgraph Labs, Inc.Memgraph LtdPingCAP, Inc.
Initial release2013201620172016
Current release8.2.0, July 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSL 1.1; commercial license for enterprise edition availableOpen 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 languageGoC and C++Go, Rust
Server operating systemshostedLinux
OS X
Windows
LinuxLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free and schema-optionalyes
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 indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnonoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Bolt protocol
Cypher query language
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesPython
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
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 aggregatesnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyesSharding infodynamic graph partitioninghorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via RaftMulti-source replication using RAFTUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
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 releasesUsers, roles and permissionsFine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksDgraphMemgraphTiDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
TiDB is an advanced open-source, distributed SQL database for modern application...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
TiDB 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 modelsYou can check out our pricing model and licenses on the company website .
» more
TiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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More resources
DatabricksDgraphMemgraphTiDB
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