DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google Cloud Datastore vs. Hive vs. VelocityDB

System Properties Comparison Google Cloud Datastore vs. Hive vs. VelocityDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHive  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platformdata warehouse software for querying and managing large distributed datasets, built on HadoopA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument storeRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#12  Document stores
Score86.05
Rank#14  Overall
#9  Relational DBMS
Score0.07
Rank#296  Overall
#28  Graph DBMS
#16  Object oriented DBMS
Websitecloud.google.com/­datastorehive.apache.orgvelocitydb.com
Technical documentationcloud.google.com/­datastore/­docscwiki.apache.org/­confluence/­display/­Hive/­Homevelocitydb.com/­UserGuide
DeveloperGoogleApache Software Foundation infoinitially developed by FacebookVelocityDB Inc
Initial release200820122011
Current release3.1.2, August 20197.x
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#
Server operating systemshostedAll OS with a Java VMAny that supports .NET
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like DML and DDL statementsno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
.Net
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
PHP
Python
.Net
Server-side scripts infoStored proceduresusing Google App Engineyes infouser defined functions and integration of map-reduceno
TriggersCallbacks using the Google Apps EnginenoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-Master replication using Paxosselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyes infoquery execution via MapReduceno
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.Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and rolesBased on Windows Authentication

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDremio is like magic for Hive accelerating your analytical queries up to 1,000x.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google Cloud DatastoreHiveVelocityDB
DB-Engines blog posts

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

show all

Recent citations in the news

Double downtime: Azure DevOps, Google cloud users put the kettle on
11 November 2019, The Register

Druid Developer Ramps Cloud-Native Approach
10 December 2019, Datanami

Top data analytics tools comparison: Alibaba Cloud, AWS, Azure, Google Cloud, IBM - Latest Digital Transformation Trends | Cloud News
5 December 2019, Wire19

Key-Value Stores Market Share Analysis and Research Report by 2025
9 December 2019, News by aeresearch

METRONOM Joins Google Cloud Next '19 UK to Discuss Achieving Cloud Maturity With DataStax
18 November 2019, Odessa American

provided by Google News

Application Developer - Pricing and Risk Systems - The Options Clearing Corporation
9 December 2019, Built In Chicago

AI, Robotics and Data Scientist are Top Emerging Jobs in 2020
11 December 2019, CDOTrends

Apache Hadoop Developer Résumé: Show Your Ecosystem Skills
29 November 2019, Dice Insights

Big Data: What Is It and How Does It Work?
10 December 2019, Business 2 Community

Apache Hive creator's Quoble goes serverless with Quantum engine
12 June 2019, DevClass

provided by Google News

Job opportunities

Google Data Engineer
Accenture, Florham Park, NJ

Google Data Engineer
Accenture, Miami, FL

Google Data Engineer
Accenture, Denver, CO

Google Data Engineer
Accenture, Seattle, WA

Cloud Database Migration Engineer, Google Professional Services
Google, San Francisco, CA

Apps Developer
Central Intelligence Agency, Washington, DC

Data Architect
City of Tacoma, Tacoma, WA

Data Scientist
Anthem, Inc., United States

Federal - Sr.Hive SQL Performance Tuner
Accenture, Washington, DC

Java/J2EE Technical Architect with Apache Ignite and Hadoop
Capgemini, North Dakota

jobs by Indeed




Share this page

Featured Products

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance


Datastax logo

Build data-driven applications that set the standard for performance, availability,
& scale with DataStax.
Learn more.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Present your product here