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DBMS > Databricks vs. EventStoreDB vs. Microsoft Access vs. Quasardb

System Properties Comparison Databricks vs. EventStoreDB vs. Microsoft Access vs. Quasardb

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEventStoreDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuasardb  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.Industrial-strength, open-source database solution built from the ground up for event sourcing.Microsoft 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.)Distributed, high-performance timeseries database
Primary database modelDocument store
Relational DBMS
Event StoreRelational DBMSTime Series 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
Score1.19
Rank#173  Overall
#1  Event Stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.databricks.comwww.eventstore.comwww.microsoft.com/­en-us/­microsoft-365/­accessquasar.ai
Technical documentationdocs.databricks.comdevelopers.eventstore.comdeveloper.microsoft.com/­en-us/­accessdoc.quasar.ai/­master
DeveloperDatabricksEvent Store LimitedMicrosoftquasardb
Initial release2013201219922009
Current release21.2, February 20211902 (16.0.11328.20222), March 20193.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infoBundled with Microsoft Officecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedLinux
Windows
Windows infoNot a real database server, but making use of DLLsBSD
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyes infointeger and binary
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.yesno
Secondary indexesyesyesyes infowith tags
SQL infoSupport of SQLwith Databricks SQLyes infobut not compliant to any SQL standardSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Supported programming languagesPython
R
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
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 nodesnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003Cryptographically strong user authentication and audit trail
More information provided by the system vendor
DatabricksEventStoreDBMicrosoft AccessQuasardb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksEventStoreDBMicrosoft AccessQuasardb
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