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DBMS > Google Cloud Bigtable vs. InfinityDB vs. Microsoft Azure Table Storage vs. OpenEdge vs. OrigoDB

System Properties Comparison Google Cloud Bigtable vs. InfinityDB vs. Microsoft Azure Table Storage vs. OpenEdge vs. OrigoDB

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A Java embedded Key-Value Store which extends the Java Map interfaceA Wide Column Store for rapid development using massive semi-structured datasetsApplication development environment with integrated database management systemA fully ACID in-memory object graph database
Primary database modelKey-value store
Wide column store
Key-value storeWide column storeRelational DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.08
Rank#365  Overall
#55  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitecloud.google.com/­bigtableboilerbay.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedgeorigodb.com
Technical documentationcloud.google.com/­bigtable/­docsboilerbay.com/­infinitydb/­manualdocumentation.progress.com/­output/­ua/­OpenEdge_latestorigodb.com/­docs
DeveloperGoogleBoiler Bay Inc.MicrosoftProgress Software CorporationRobert Friberg et al
Initial release20152002201219842009 infounder the name LiveDB
Current release4.0OpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
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 VMhostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyesUser 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.nononoyesno infocan be achieved using .NET
Secondary indexesnono infomanual creation possible, using inversions based on multi-value capabilitynoyesyes
SQL infoSupport of SQLnononoyes infoclose to SQL 92no
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
RESTful HTTP APIJDBC
ODBC
.NET Client API
HTTP API
LINQ
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Java.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net
Server-side scripts infoStored proceduresnononoyesyes
Triggersnononoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4horizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynoyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infoOptimistic locking for transactions; no isolation for bulk loadsoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonononoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess rights based on private key authentication or shared access signaturesUsers and groupsRole based authorization

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More resources
Google Cloud BigtableInfinityDBMicrosoft Azure Table StorageOpenEdgeOrigoDB
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