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DBMS > Databricks vs. Google Cloud Spanner vs. openGauss vs. TinkerGraph vs. Yaacomo

System Properties Comparison Databricks vs. Google Cloud Spanner vs. openGauss vs. TinkerGraph vs. Yaacomo

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonopenGauss  Xexclude from comparisonTinkerGraph  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A 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.An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitewww.databricks.comcloud.google.com/­spannergitee.com/­opengauss
opengauss.org
tinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinyaacomo.com
Technical documentationdocs.databricks.comcloud.google.com/­spanner/­docsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperDatabricksGoogleHuawei and openGauss communityQ2WEB GmbH
Initial release20132017201920092009
Current release3.0, March 2022
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaJava
Server operating systemshostedhostedLinuxAndroid
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-freeyes
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.yesnononono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLyes infoQuery statements complying to ANSI 2011ANSI SQL 2011noyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
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
TinkerPop 3JDBC
ODBC
Supported programming languagesPython
R
Scala
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
Groovy
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesno
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash)nonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication with 3 replicas for regional instances.Source-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksGoogle Cloud SpanneropenGaussTinkerGraphYaacomo
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksGoogle Cloud SpanneropenGaussTinkerGraphYaacomo
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