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DBMS > FatDB vs. Google BigQuery vs. OpenTSDB vs. OrigoDB

System Properties Comparison FatDB vs. Google BigQuery vs. OpenTSDB vs. OrigoDB

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonOpenTSDB  Xexclude from comparisonOrigoDB  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.Large scale data warehouse service with append-only tablesScalable Time Series DBMS based on HBaseA fully ACID in-memory object graph database
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Websitecloud.google.com/­bigqueryopentsdb.netorigodb.com
Technical documentationcloud.google.com/­bigquery/­docsopentsdb.net/­docs/­build/­html/­index.htmlorigodb.com/­docs
DeveloperFatCloudGooglecurrently maintained by Yahoo and other contributorsRobert Friberg et al
Initial release2012201020112009 infounder the name LiveDB
License infoCommercial or Open SourcecommercialcommercialOpen Source infoLGPLOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#JavaC#
Server operating systemsWindowshostedLinux
Windows
Linux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tagsUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesnonoyes
SQL infoSupport of SQLno infoVia inetgration in SQL Serveryesnono
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP/JSON APIHTTP API
Telnet API
.NET Client API
HTTP API
LINQ
Supported programming languagesC#.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Erlang
Go
Java
Python
R
Ruby
.Net
Server-side scripts infoStored proceduresyes infovia applicationsuser defined functions infoin JavaScriptnoyes
Triggersyes infovia applicationsnonoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on HBasehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
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 privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)noRole based authorization

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More resources
FatDBGoogle BigQueryOpenTSDBOrigoDB
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