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DBMS > Databricks vs. DolphinDB vs. EsgynDB vs. Graph Engine

System Properties Comparison Databricks vs. DolphinDB vs. EsgynDB vs. Graph Engine

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDolphinDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  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.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMSGraph DBMS
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Websitewww.databricks.comwww.dolphindb.comwww.esgyn.cnwww.graphengine.io
Technical documentationdocs.databricks.comdocs.dolphindb.cn/­en/­help200/­index.htmlwww.graphengine.io/­docs/­manual
DeveloperDatabricksDolphinDB, IncEsgynMicrosoft
Initial release2013201820152010
Current releasev2.00.4, January 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community version availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Java.NET and C
Server operating systemshostedLinux
Windows
Linux.NET
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
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 SQLSQL-like query languageyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
All languages supporting JDBC/ODBC/ADO.NetC#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesJava Stored Proceduresyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication between multi datacenters
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksDolphinDBEsgynDBGraph Engine infoformer name: Trinity
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDolphinDBEsgynDBGraph Engine infoformer name: Trinity
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