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DBMS > Google Cloud Bigtable vs. OrientDB vs. Stardog vs. SurrealDB

System Properties Comparison Google Cloud Bigtable vs. OrientDB vs. Stardog vs. SurrealDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonOrientDB  Xexclude from comparisonStardog  Xexclude from comparisonSurrealDB  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.Multi-model DBMS (Document, Graph, Key/Value)Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelKey-value store
Wide column store
Document store
Graph DBMS
Key-value store
Graph DBMS
RDF store
Document store
Graph 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
Score3.02
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Score1.93
Rank#121  Overall
#10  Graph DBMS
#6  RDF stores
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websitecloud.google.com/­bigtableorientdb.orgwww.stardog.comsurrealdb.com
Technical documentationcloud.google.com/­bigtable/­docswww.orientdb.com/­docs/­last/­index.htmldocs.stardog.comsurrealdb.com/­docs
DeveloperGoogleOrientDB LTD; CallidusCloud; SAPStardog-UnionSurrealDB Ltd
Initial release2015201020102022
Current release3.2.29, March 20247.3.0, May 2020v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaRust
Server operating systemshostedAll OS with a Java JDK (>= JDK 6)Linux
macOS
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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 infoImport/export of XML data possible
Secondary indexesnoyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoSQL-like query language, no joinsYes, compatible with all major SQL variants through dedicated BI/SQL ServerSQL-like query language
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoJava, Javascriptuser defined functions and aggregates, HTTP Server extensions in Java
TriggersnoHooksyes infovia event handlers
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 replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infocould be achieved with distributed queriesnono
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 in HA-Cluster
Foreign keys infoReferential integritynoyes inforelationship in graphsyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles; record level security configurableAccess rights for users and rolesyes, based on authentication and database rules

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More resources
Google Cloud BigtableOrientDBStardogSurrealDB
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