DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Databricks vs. JanusGraph vs. Transwarp StellarDB

System Properties Comparison Databricks vs. JanusGraph vs. Transwarp StellarDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonTranswarp StellarDB  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 Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A distributed graph DBMS built for enterprise-level graph applications
Primary database modelDocument store
Relational DBMS
Graph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score102.66
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Score1.78
Rank#127  Overall
#10  Graph DBMS
Score0.00
Rank#385  Overall
#41  Graph DBMS
Websitewww.databricks.comjanusgraph.orgwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.databricks.comdocs.janusgraph.org
DeveloperDatabricksLinux Foundation; originally developed as Titan by AureliusTranswarp
Initial release20132017
Current release1.0.0, October 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedLinux
OS X
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyes
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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
OpenCypher
Supported programming languagesPython
R
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUser authentification and security via Rexster Graph Serveryes

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DatabricksJanusGraph infosuccessor of TitanTranswarp StellarDB
DB-Engines blog posts

DB-Engines shares Q1 2025 database industry rankings and top climbers: Snowflake and PostgreSQL trending
1 May 2025, DB-Engines

PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

show all

Recent citations in the news

Is $1 billion a lot of money these days?
16 May 2025, TechCrunch

Pro Weekly: AI M&A Heats Up
16 May 2025, The Information

Databricks is buying database startup Neon for about $1 billion
14 May 2025, CNBC

Exclusive | Databricks to Buy Startup Neon for $1 Billion
14 May 2025, WSJ

The $1 Billion database bet: What Databricks’ Neon acquisition means for your AI strategy
15 May 2025, VentureBeat

provided by Google News

Database Deep Dives: JanusGraph
8 August 2019, IBM

Update Nordstrom Builds Flexible Backend Ops with Kubernetes, Spark and JanusGraph
28 March 2022, InApps Technology

The year of the graph: Getting graphic, going native, reshaping the landscape
8 January 2018, ZDNET

Advantages of graph databases: Easier data modeling, analytics
23 January 2019, TechTarget

Building a Graph Database on AWS Using Amazon DynamoDB and Titan
22 October 2015, Amazon Web Services (AWS)

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Present your product here