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DBMS > Databricks vs. Derby vs. Dragonfly vs. TigerGraph

System Properties Comparison Databricks vs. Derby vs. Dragonfly vs. TigerGraph

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonDragonfly  Xexclude from comparisonTigerGraph  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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.databricks.comdb.apache.org/­derbygithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.tigergraph.com
Technical documentationdocs.databricks.comdb.apache.org/­derby/­manuals/­index.htmlwww.dragonflydb.io/­docsdocs.tigergraph.com
DeveloperDatabricksApache Software FoundationDragonflyDB team and community contributors
Initial release2013199720232017
Current release10.17.1.0, November 20231.0, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoBSL 1.1commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemshostedAll OS with a Java VMLinuxLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesscheme-freeyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyes
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.yesyesnono
Secondary indexesyesyesno
SQL infoSupport of SQLwith Databricks SQLyesnoSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCProprietary protocol infoRESP - REdis Serialization ProtocolGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
JavaC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored ProceduresLuayes
Triggersyespublish/subscribe channels provide some trigger functionalityno
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of command blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryes
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.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardPassword-based authenticationRole-based access control
More information provided by the system vendor
DatabricksDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBDragonflyTigerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBDragonflyTigerGraph
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