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DBMS > etcd vs. Google Cloud Spanner vs. MarkLogic vs. Microsoft Access vs. SiriDB

System Properties Comparison etcd vs. Google Cloud Spanner vs. MarkLogic vs. Microsoft Access vs. SiriDB

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionA distributed reliable key-value storeA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Operational and transactional Enterprise NoSQL databaseMicrosoft 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.)Open Source Time Series DBMS
Primary database modelKey-value storeRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
cloud.google.com/­spannerwww.progress.com/­marklogicwww.microsoft.com/­en-us/­microsoft-365/­accesssiridb.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cloud.google.com/­spanner/­docswww.progress.com/­marklogic/­documentationdeveloper.microsoft.com/­en-us/­accessdocs.siridb.com
DeveloperGoogleMarkLogic Corp.MicrosoftCesbit
Initial release2017200119922017
Current release3.4, August 201911.0, December 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial inforestricted free version is availablecommercial infoBundled with Microsoft OfficeOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C++C
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedLinux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-freeyesschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes infoNumeric data
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.nonoyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011yes infoSQL92yes infobut not compliant to any SQL standardno
APIs and other access methodsgRPC
JSON over HTTP
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonoyes infovia XQuery or JavaScriptyes infosince Access 2010 using the ACE-engineno
Triggersyes, watching key changesnoyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication with 3 replicas for regional instances.yesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationACID infocan act as a resource manager in an XA/JTA transactionACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes, with Range Indexesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control at the document and subdocument levelsno infoa simple user-level security was built in till version Access 2003simple rights management via user accounts

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More resources
etcdGoogle Cloud SpannerMarkLogicMicrosoft AccessSiriDB
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