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DBMS > Databricks vs. Memgraph vs. Microsoft Access vs. TinkerGraph

System Properties Comparison Databricks vs. Memgraph vs. Microsoft Access vs. TinkerGraph

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTinkerGraph  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.An open source graph database built for real-time streaming and compatible with Neo4jMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument store
Relational DBMS
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
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitewww.databricks.commemgraph.comwww.microsoft.com/­en-us/­microsoft-365/­accesstinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.databricks.commemgraph.com/­docsdeveloper.microsoft.com/­en-us/­access
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperDatabricksMemgraph LtdMicrosoft
Initial release2013201719922009
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++Java
Server operating systemshostedLinuxWindows infoNot a real database server, but making use of DLLs
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free and schema-optionalyesschema-free
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.yesnono
Secondary indexesyesyesno
SQL infoSupport of SQLwith Databricks SQLnoyes infobut not compliant to any SQL standardno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
ADO.NET
DAO
ODBC
OLE DB
TinkerPop 3
Supported programming languagesPython
R
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Groovy
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infosince Access 2010 using the ACE-engineno
Triggersyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infodynamic graph partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFTnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyes inforelationships in graphsyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infowith snapshot isolationACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesno
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes infobut no files for transaction loggingoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers, roles and permissionsno infoa simple user-level security was built in till version Access 2003no
More information provided by the system vendor
DatabricksMemgraphMicrosoft AccessTinkerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
DatabricksMemgraphMicrosoft AccessTinkerGraph
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