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DBMS > Google Cloud Bigtable vs. RavenDB vs. TigerGraph vs. TinkerGraph

System Properties Comparison Google Cloud Bigtable vs. RavenDB vs. TigerGraph vs. TinkerGraph

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonRavenDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonTinkerGraph  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.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value store
Wide column store
Document storeGraph DBMSGraph DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score2.68
Rank#102  Overall
#19  Document stores
Score1.44
Rank#152  Overall
#14  Graph DBMS
Score0.08
Rank#345  Overall
#34  Graph DBMS
Websitecloud.google.com/­bigtableravendb.netwww.tigergraph.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationcloud.google.com/­bigtable/­docsravendb.net/­docsdocs.tigergraph.com
DeveloperGoogleHibernating Rhinos
Initial release2015201020172009
Current release5.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3, commercial license availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++Java
Server operating systemshostedLinux
macOS
Raspberry Pi
Windows
Linux
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenonoyesyes
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 indexesnoyesno
SQL infoSupport of SQLnoSQL-like query language (RQL)SQL-like query language (GSQL)no
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
TinkerPop 3
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Groovy
Java
Server-side scripts infoStored proceduresnoyesyesno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.none
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID, Cluster-wide transaction availableACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Authorization levels configured per client per databaseRole-based access controlno

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More resources
Google Cloud BigtableRavenDBTigerGraphTinkerGraph
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