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DBMS > Google Cloud Bigtable vs. Graph Engine vs. jBASE vs. NCache

System Properties Comparison Google Cloud Bigtable vs. Graph Engine vs. jBASE vs. NCache

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonjBASE  Xexclude from comparisonNCache  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 robust multi-value DBMS comprising development tools and middlewareOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelKey-value store
Wide column store
Graph DBMS
Key-value store
Multivalue DBMSKey-value store
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Websitecloud.google.com/­bigtablewww.graphengine.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.alachisoft.com/­ncache
Technical documentationcloud.google.com/­bigtable/­docswww.graphengine.io/­docs/­manualdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9www.alachisoft.com/­resources/­docs
DeveloperGoogleMicrosoftRocket Software (formerly Zumasys)Alachisoft
Initial release2015201019912005
Current release5.75.3.3, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialOpen Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC#, .NET, .NET Core, Java
Server operating systemshosted.NETAIX
Linux
Windows
Linux
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesoptionalpartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
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.nonoyesno
Secondary indexesnoyes
SQL infoSupport of SQLnonoEmbedded SQL for jBASE in BASICSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
.Net
Basic
Jabbascript
Java
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyesyesno infosupport for stored procedures with SQL-Server CLR
Triggersnonoyesyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyesyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDoptimistic locking and pessimistic locking
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.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights can be defined down to the item levelAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
Google Cloud BigtableGraph Engine infoformer name: TrinityjBASENCache
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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More resources
Google Cloud BigtableGraph Engine infoformer name: TrinityjBASENCache
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