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DBMS > Databricks vs. FoundationDB vs. HugeGraph vs. HyperSQL vs. Transwarp StellarDB

System Properties Comparison Databricks vs. FoundationDB vs. HugeGraph vs. HyperSQL vs. Transwarp StellarDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFoundationDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
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.Ordered key-value store. Core features are complimented by layers.A fast-speed and highly-scalable Graph DBMSMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA distributed graph DBMS built for enterprise-level graph applications
Primary database modelDocument store
Relational DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Graph DBMSRelational DBMSGraph 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
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.00
Rank#383  Overall
#39  Graph DBMS
Websitewww.databricks.comgithub.com/­apple/­foundationdbgithub.com/­hugegraph
hugegraph.apache.org
hsqldb.orgwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.databricks.comapple.github.io/­foundationdbhugegraph.apache.org/­docshsqldb.org/­web/­hsqlDocsFrame.html
DeveloperDatabricksFoundationDBBaiduTranswarp
Initial release2013201320182001
Current release6.2.28, November 20200.92.7.2, June 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infobased on BSD licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemshostedLinux
OS X
Windows
Linux
macOS
Unix
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modes
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyes
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.yesnono
Secondary indexesyesnoyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLwith Databricks SQLsupported in specific SQL layer onlynoyesSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API infoJDBC via HTTP
JDBC
ODBC
OpenCypher
Supported programming languagesPython
R
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Groovy
Java
Python
All languages supporting JDBC/ODBC
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesin SQL-layer onlyasynchronous Gremlin script jobsJava, SQL
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoUsers, roles and permissionsfine grained access rights according to SQL-standardyes
More information provided by the system vendor
DatabricksFoundationDBHugeGraphHyperSQL infoalso known as HSQLDBTranswarp StellarDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksFoundationDBHugeGraphHyperSQL infoalso known as HSQLDBTranswarp StellarDB
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