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DBMS > Databricks vs. etcd vs. H2 vs. Microsoft Access

System Properties Comparison Databricks vs. etcd vs. H2 vs. Microsoft Access

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonetcd  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Access  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.A distributed reliable key-value storeFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.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.)
Primary database modelDocument store
Relational DBMS
Key-value storeRelational DBMSRelational DBMS
Secondary database modelsSpatial 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
Score7.25
Rank#54  Overall
#5  Key-value stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitewww.databricks.cometcd.io
github.com/­etcd-io/­etcd
www.h2database.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.databricks.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.h2database.com/­html/­main.htmldeveloper.microsoft.com/­en-us/­access
DeveloperDatabricksThomas MuellerMicrosoft
Initial release201320051992
Current release3.4, August 20192.2.220, July 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++
Server operating systemshostedFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMWindows infoNot a real database server, but making use of DLLs
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLwith Databricks SQLnoyesyes infobut not compliant to any SQL standard
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
JSON over HTTP
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesPython
R
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
JavaC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoJava Stored Procedures and User-Defined Functionsyes infosince Access 2010 using the ACE-engine
Triggersyes, watching key changesyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.With clustering: 2 database servers on different computers operate on identical copies of a databasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
DatabricksetcdH2Microsoft Access
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksetcdH2Microsoft Access
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