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DBMS > Apache HugeGraph vs. Databricks

System Properties Comparison Apache HugeGraph vs. Databricks

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Editorial information provided by DB-Engines
NameApache HugeGraph  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSThe 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.
Primary database modelGraph DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#318  Overall
#27  Graph DBMS
Score102.66
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.databricks.com
Technical documentationhugegraph.apache.org/­docsdocs.databricks.com
DeveloperBaiduDatabricks
Initial release20182013
Current release0.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
macOS
Unix
hosted
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)
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.noyes
Secondary indexesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnowith Databricks SQL
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGroovy
Java
Python
Python
R
Scala
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsuser defined functions and aggregates
Triggersno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers, roles and permissions

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More resources
Apache HugeGraphDatabricks
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Recent citations in the news

Apache warns of critical flaws in MINA, HugeGraph, Traffic Control
26 December 2024, BleepingComputer

Critical Apache HugeGraph Vulnerability Under Attack - Patch ASAP
17 July 2024, The Hacker News

Apache HugeGraph-Server Vulnerability Lets Attackers Bypass Authentication
24 December 2024, CybersecurityNews

U.S. CISA adds Microsoft Windows, Apache HugeGraph-Server, Oracle JDeveloper, Oracle WebLogic Server, and M...
19 September 2024, Security Affairs

CISA warns of actively exploited Apache HugeGraph-Server bug
19 September 2024, BleepingComputer

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5 May 2025, SiliconANGLE

Databricks in Talks to Acquire Database Startup Neon
5 May 2025, The Information

Confluent Forms AI-Focused Partnerships With Databricks and Jio Platforms
6 May 2025, PYMNTS.com

SXSW Retrospective: Exploring Open Source AI with MoFo, Meta, Databricks, & EleutherAI
9 May 2025, JD Supra

Databricks continues EMEA growth drive with double leadership appointment
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