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DBMS > AgensGraph vs. Apache Doris vs. Google Cloud Spanner vs. Kinetica

System Properties Comparison AgensGraph vs. Apache Doris vs. Google Cloud Spanner vs. Kinetica

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Doris  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAn MPP-based analytics DBMS embracing the MySQL protocolA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Fully vectorized database across both GPUs and CPUs
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitebitnine.net/­agensgraphdoris.apache.org
github.com/­apache/­doris
cloud.google.com/­spannerwww.kinetica.com
Technical documentationbitnine.net/­documentationgithub.com/­apache/­doris/­wikicloud.google.com/­spanner/­docsdocs.kinetica.com
DeveloperBitnine Global Inc.Apache Software Foundation, originally contributed from BaiduGoogleKinetica
Initial release2016201720172012
Current release2.1, December 20181.2.2, February 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC, C++
Server operating systemsLinux
OS X
Windows
LinuxhostedLinux
Data schemedepending on used data modelyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyesyesyes infoQuery statements complying to ANSI 2011SQL-like DML and DDL statements
APIs and other access methodsCypher Query Language
JDBC
JDBC
MySQL client
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
JavaGo
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functionsnouser defined functions
Triggersnononoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication with 3 replicas for regional instances.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationno
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.nononoyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles on table level

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More resources
AgensGraphApache DorisGoogle Cloud SpannerKinetica
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