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DBMS > Databricks vs. Microsoft Access vs. Sequoiadb vs. XTDB

System Properties Comparison Databricks vs. Microsoft Access vs. Sequoiadb vs. XTDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSequoiadb  Xexclude from comparisonXTDB infoformerly named Crux  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.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.)NewSQL database with distributed OLTP and SQLA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.databricks.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.sequoiadb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.databricks.comdeveloper.microsoft.com/­en-us/­accesswww.sequoiadb.com/­en/­index.php?m=Files&a=indexwww.xtdb.com/­docs
DeveloperDatabricksMicrosoftSequoiadb Ltd.Juxt Ltd.
Initial release2013199220132019
Current release1902 (16.0.11328.20222), March 20191.19, September 2021
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoServer: AGPL; Client: Apache V2Open 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++Clojure
Server operating systemshostedWindows infoNot a real database server, but making use of DLLsLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infooid, date, timestamp, binary, regexyes, extensible-data-notation format
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 indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyes infobut not compliant to any SQL standardSQL-like query languagelimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
proprietary protocol using JSONHTTP REST
JDBC
Supported programming languagesPython
R
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Java
PHP
Python
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infosince Access 2010 using the ACE-engineJavaScriptno
Triggersyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003simple password-based access control
More information provided by the system vendor
DatabricksMicrosoft AccessSequoiadbXTDB infoformerly named Crux
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksMicrosoft AccessSequoiadbXTDB infoformerly named Crux
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