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DBMS > Databend vs. etcd vs. Greenplum vs. Interbase vs. Microsoft Access

System Properties Comparison Databend vs. etcd vs. Greenplum vs. Interbase vs. Microsoft Access

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonetcd  Xexclude from comparisonGreenplum  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA distributed reliable key-value storeAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Light-weight proven RDBMS infooriginally from BorlandMicrosoft 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 modelRelational DBMSKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
etcd.io
github.com/­etcd-io/­etcd
greenplum.orgwww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.databend.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.greenplum.orgdocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­access
DeveloperDatabend LabsPivotal Software Inc.EmbarcaderoMicrosoft
Initial release2021200519841992
Current release1.0.59, April 20233.4, August 20197.0.0, September 2023InterBase 2020, December 20191902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustGoCC++
Server operating systemshosted
Linux
macOS
FreeBSD
Linux
Windows infoexperimental
LinuxAndroid
iOS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyes infosince Version 4.2no infoexport as XML data possible
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLyesnoyesyesyes infobut not compliant to any SQL standard
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
gRPC
JSON over HTTP
JDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
Java
Perl
Python
R
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyesyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-engine
Triggersnoyes, watching key changesyesyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationInterbase Change Viewsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyesyesyes 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 controlUsers with fine-grained authorization concept, user rolesnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003

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More resources
DatabendetcdGreenplumInterbaseMicrosoft Access
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