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DBMS > Google Cloud Datastore vs. LevelDB vs. Microsoft Access vs. VictoriaMetrics vs. VoltDB

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

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonVictoriaMetrics  Xexclude from comparisonVoltDB  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 valuesMicrosoft 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 solutionDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument storeKey-value storeRelational DBMSTime Series DBMSRelational DBMS
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
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitecloud.google.com/­datastoregithub.com/­google/­leveldbwww.microsoft.com/­en-us/­microsoft-365/­accessvictoriametrics.comwww.voltdb.com
Technical documentationcloud.google.com/­datastore/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddeveloper.microsoft.com/­en-us/­accessdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
docs.voltdb.com
DeveloperGoogleGoogleMicrosoftVictoriaMetricsVoltDB Inc.
Initial release20082011199220182010
Current release1.23, February 20211902 (16.0.11328.20222), March 2019v1.91, May 202311.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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++GoJava, C++
Server operating systemshostedIllumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsFreeBSD
Linux
macOS
OpenBSD
Linux
OS X infofor development
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details herenoyesyes
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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query language (GQL)noyes infobut not compliant to any SQL standardnoyes infoonly a subset of SQL 99
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
DAO
ODBC
OLE DB
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Java API
JDBC
RESTful HTTP/JSON API
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
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresusing Google App Enginenoyes infosince Access 2010 using the ACE-enginenoJava
TriggersCallbacks using the Google Apps Enginenoyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosnonenoneSynchronous replicationMulti-source replication
Source-replica 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 pathsnoyesnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID infobut no files for transaction loggingnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infobut no files for transaction loggingyesyes infoSnapshots and command logging
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)nono infoa simple user-level security was built in till version Access 2003Users and roles with access to stored procedures

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More resources
Google Cloud DatastoreLevelDBMicrosoft AccessVictoriaMetricsVoltDB
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