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DBMS > Google Cloud Bigtable vs. Graph Engine vs. InfinityDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison Google Cloud Bigtable vs. Graph Engine vs. InfinityDB vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA Java embedded Key-Value Store which extends the Java Map interfaceElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelKey-value store
Wide column store
Graph DBMS
Key-value store
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.07
Rank#359  Overall
#54  Key-value stores
Score22.71
Rank#30  Overall
#18  Relational DBMS
Websitecloud.google.com/­bigtablewww.graphengine.ioboilerbay.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationcloud.google.com/­bigtable/­docswww.graphengine.io/­docs/­manualboilerbay.com/­infinitydb/­manualdocs.microsoft.com/­azure/­synapse-analytics
DeveloperGoogleMicrosoftBoiler Bay Inc.Microsoft
Initial release2015201020022016
Current release4.0
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaC++
Server operating systemshosted.NETAll OS with a Java VMhosted
Data schemeschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or datenoyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.nononono
Secondary indexesnono infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
JavaC#
Java
PHP
Server-side scripts infoStored proceduresnoyesnoTransact SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
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 Consistency
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noyes

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More resources
Google Cloud BigtableGraph Engine infoformer name: TrinityInfinityDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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