DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > FatDB vs. Google Cloud Datastore vs. Microsoft Azure Table Storage vs. Yaacomo

System Properties Comparison FatDB vs. Google Cloud Datastore vs. Microsoft Azure Table Storage vs. Yaacomo

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonYaacomo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA Wide Column Store for rapid development using massive semi-structured datasetsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Document storeWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.44
Rank#79  Overall
#12  Document stores
Score5.28
Rank#71  Overall
#5  Wide column stores
Score0.01
Rank#348  Overall
#145  Relational DBMS
Websitecloud.google.com/­datastoreazure.microsoft.com/­en-us/­services/­storage/­tablesyaacomo.com
Technical documentationcloud.google.com/­datastore/­docs
DeveloperFatCloudGoogleMicrosoftQ2WEB GmbH
Initial release2012200820122009
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#
Server operating systemsWindowshostedhostedAndroid
Linux
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes, 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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query language (GQL)noyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC#.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infovia applicationsusing Google App Engineno
Triggersyes infovia applicationsCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using Paxosyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate 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 pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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

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

More resources
FatDBGoogle Cloud DatastoreMicrosoft Azure Table StorageYaacomo
Recent citations in the news

Google Cloud DLP: Product Overview and Pricing | ENP
2 December 2021, EnterpriseNetworkingPlanet

Rackspace Technology Accelerates Momentum with Google Cloud
23 November 2021, GlobeNewswire

Abiquo 5.4 introduces support for Oracle Cloud Infrastructure, Firewall Policies into the existing Google Cloud Platform integration and advanced networking tools, reducing complexity and bringing companies the ability to gain control over public cloud resourc
16 November 2021, Yahoo Finance

How This Startup Is Leveraging AI to Democratize Location Intelligence
3 December 2021, Analytics India Magazine

NetApp Reports Second Quarter of Fiscal Year 2022 Results
30 November 2021, Business Wire

provided by Google News

Microsoft Announces Azure Chaos Studio in Public Preview
10 November 2021, InfoQ.com

How to use Azure Table storage in .Net
14 January 2019, InfoWorld

New in Azure SDK: Data Tables & Monitor Libraries, and More
22 June 2021, Visual Studio Magazine

Words to go: Azure storage types
29 November 2016, TechTarget

Azure Improves Table Storage Paging
14 October 2014, Visual Studio Magazine

provided by Google News

Staying power: the growing impact of PostgreSQL on enterprise marks Postgres Vision 2021
15 June 2021, SiliconANGLE News

provided by Google News

Job opportunities

Engineering Manager, Google Cloud Platform
Google, Mountain View, CA

Google Cloud Platform Data Engineer and Subject Matter Expert
Booz Allen Hamilton, McLean, VA

Senior Data Engineer, Google Cloud
Caserta, New York, NY

Machine Learning Engineer
Cadent, Philadelphia, PA

Talent Acquisition
Altirnao, Paris, OR

Principal Software Engineering Manager - Azure Storage Security
Microsoft, Redmond, WA

DevOps Engineer (Azure)
IDEXX, Westbrook, ME

Azure Cloud Architect
Anika Systems, Remote

Office 365, Azure Consultant
Canviz, Kirkland, WA

Azure Software Development Team Lead
SolTech Inc., Chattanooga, TN

jobs by Indeed



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here