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DBMS > Databricks vs. Dgraph vs. HugeGraph vs. Lovefield vs. Riak KV

System Properties Comparison Databricks vs. Dgraph vs. HugeGraph vs. Lovefield vs. Riak KV

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDgraph  Xexclude from comparisonHugeGraph  Xexclude from comparisonLovefield  Xexclude from comparisonRiak KV  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.Distributed and scalable native Graph DBMSA fast-speed and highly-scalable Graph DBMSEmbeddable relational database for web apps written in pure JavaScriptDistributed, fault tolerant key-value store
Primary database modelDocument store
Relational DBMS
Graph DBMSGraph DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitewww.databricks.comdgraph.iogithub.com/­hugegraph
hugegraph.apache.org
google.github.io/­lovefield
Technical documentationdocs.databricks.comdgraph.io/­docshugegraph.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperDatabricksDgraph Labs, Inc.BaiduGoogleOpenSource, formerly Basho Technologies
Initial release20132016201820142009
Current release0.92.1.12, February 20173.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJavaScriptErlang
Server operating systemshostedLinux
OS X
Windows
Linux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnononono
Secondary indexesyesyesyes infoalso supports composite index and range indexyesrestricted
SQL infoSupport of SQLwith Databricks SQLnonoSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
Native Erlang Interface
Supported programming languagesPython
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
Python
JavaScriptC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoasynchronous Gremlin script jobsnoErlang
TriggersnonoUsing read-only observersyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via Raftyes infodepending on used storage backend, e.g. Cassandra and HBasenoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDB
User concepts infoAccess controlno infoPlanned for future releasesUsers, roles and permissionsnoyes, using Riak Security
More information provided by the system vendor
DatabricksDgraphHugeGraphLovefieldRiak KV
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDgraphHugeGraphLovefieldRiak KV
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