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DBMS > Google Cloud Datastore vs. LevelDB vs. Manticore Search vs. Microsoft Access vs. VictoriaMetrics

System Properties Comparison Google Cloud Datastore vs. LevelDB vs. Manticore Search vs. Microsoft Access vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonLevelDB  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMulti-storage database for search, including full-text search.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.)A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument storeKey-value storeSearch engineRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.29
Rank#302  Overall
#21  Search engines
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitecloud.google.com/­datastoregithub.com/­google/­leveldbmanticoresearch.comwww.microsoft.com/­en-us/­microsoft-365/­accessvictoriametrics.com
Technical documentationcloud.google.com/­datastore/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdmanual.manticoresearch.comdeveloper.microsoft.com/­en-us/­accessdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGoogleGoogleManticore SoftwareMicrosoftVictoriaMetrics
Initial release20082011201719922018
Current release1.23, February 20216.0, February 20231902 (16.0.11328.20222), March 2019v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoGPL version 2commercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++Go
Server operating systemshostedIllumos
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsFreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyes, details herenoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nonoCan index from XMLno
Secondary indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query language (GQL)noSQL-like query languageyes infobut not compliant to any SQL standardno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
DAO
ODBC
OLE DB
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresusing Google App Enginenouser defined functionsyes infosince Access 2010 using the ACE-engineno
TriggersCallbacks using the Google Apps Enginenonoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosnoneSynchronous replication based on Galera librarynoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnoyes infoisolated transactions for atomic changes and binary logging for safe writesACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infoThe original contents of fields are not stored in the Manticore index.yes 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.nono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonono infoa simple user-level security was built in till version Access 2003

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More resources
Google Cloud DatastoreLevelDBManticore SearchMicrosoft AccessVictoriaMetrics
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