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DBMS > Google BigQuery vs. Google Cloud Datastore vs. Immudb vs. Oracle Berkeley DB vs. Snowflake

System Properties Comparison Google BigQuery vs. Google Cloud Datastore vs. Immudb vs. Oracle Berkeley DB vs. Snowflake

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonImmudb  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Widely used in-process key-value storeCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSDocument storeKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.31
Rank#295  Overall
#42  Key-value stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitecloud.google.com/­bigquerycloud.google.com/­datastoregithub.com/­codenotary/­immudb
immudb.io
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.snowflake.com
Technical documentationcloud.google.com/­bigquery/­docscloud.google.com/­datastore/­docsdocs.immudb.iodocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.snowflake.net/­manuals/­index.html
DeveloperGoogleGoogleCodenotaryOracle infooriginally developed by Sleepycat, which was acquired by OracleSnowflake Computing Inc.
Initial release20102008202019942014
Current release1.2.3, April 202218.1.40, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedhostedBSD
Linux
macOS
Solaris
Windows
z/OS
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
hosted
Data schemeyesschema-freeschema-freeschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyes, details herenoyes
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.nononoyes infoonly with the Berkeley DB XML editionyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesSQL-like query language (GQL)SQL-like syntaxyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsRESTful HTTP/JSON APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
gRPC protocol
PostgreSQL wire protocol
CLI Client
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptusing Google App Enginenonouser defined functions
TriggersnoCallbacks using the Google Apps Enginenoyes infoonly for the SQL APIno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Google BigQueryGoogle Cloud DatastoreImmudbOracle Berkeley DBSnowflake
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