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DBMS > Apache Derby vs. Apache HugeGraph vs. Databricks

System Properties Comparison Apache Derby vs. Apache HugeGraph vs. Databricks

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Editorial information provided by DB-Engines
NameApache Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonApache HugeGraph  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A 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 modelRelational DBMSGraph DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.04
Rank#85  Overall
#46  Relational DBMS
Score0.18
Rank#318  Overall
#27  Graph DBMS
Score102.66
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Websitedb.apache.org/­derbygithub.com/­hugegraph
hugegraph.apache.org
www.databricks.com
Technical documentationdb.apache.org/­derby/­manuals/­index.htmlhugegraph.apache.org/­docsdocs.databricks.com
DeveloperApache Software FoundationBaiduDatabricks
Initial release199720182013
Current release10.17.1.0, November 20230.9
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
hosted
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes
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.yesnoyes
Secondary indexesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLyesnowith Databricks SQL
APIs and other access methodsJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaGroovy
Java
Python
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresasynchronous Gremlin script jobsuser defined functions and aggregates
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissions

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More resources
Apache Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBApache HugeGraphDatabricks
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