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DBMS > Coveo vs. GBase vs. Google Cloud Datastore vs. TempoIQ vs. TinkerGraph

System Properties Comparison Coveo vs. GBase vs. Google Cloud Datastore vs. TempoIQ vs. TinkerGraph

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonGBase  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonTinkerGraph  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformScalable analytics DBMS for sensor data, provided as a service (SaaS)A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelSearch engineRelational DBMSDocument storeTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitewww.coveo.comwww.gbase.cncloud.google.com/­datastoretempoiq.com (offline)tinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.coveo.comcloud.google.com/­datastore/­docs
DeveloperCoveoGeneral Data Technology Co., Ltd.GoogleTempoIQ
Initial release20122004200820122009
Current releaseGBase 8a, GBase 8s, GBase 8c
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, PythonJava
Server operating systemshostedLinuxhosted
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes, details hereyesyes
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.noyesnonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoStandard with numerous extensionsSQL-like query language (GQL)nono
APIs and other access methodsRESTful HTTP APIADO.NET
C API
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP APITinkerPop 3
Supported programming languagesC#
Java
JavaScript
Python
C#.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript infoNode.js
Python
Ruby
Groovy
Java
Server-side scripts infoStored proceduresnouser defined functionsusing Google App Enginenono
TriggersyesyesCallbacks using the Google Apps Engineyes infoRealtime Alertsno
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication using Paxosnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.none
Foreign keys infoReferential integrityyesyesyes infovia ReferenceProperties or Ancestor pathsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlgranular access controls, API key management, content filtersyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple authentication-based access controlno

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More resources
CoveoGBaseGoogle Cloud DatastoreTempoIQ infoformerly TempoDBTinkerGraph
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