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DBMS > Spark SQL vs. TinkerGraph vs. Yanza vs. YugabyteDB

System Properties Comparison Spark SQL vs. TinkerGraph vs. Yanza vs. YugabyteDB

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonTinkerGraph  Xexclude from comparisonYanza  Xexclude from comparisonYugabyteDB  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APITime Series DBMS for IoT ApplicationsHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSGraph DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitespark.apache.org/­sqltinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinyanza.comwww.yugabyte.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperApache Software FoundationYanzaYugabyte Inc.
Initial release2014200920152017
Current release3.5.0 ( 2.13), September 20232.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercial infofree version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono infobut mainly used as a service provided by Yanzano
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageScalaJavaC and C++
Server operating systemsLinux
OS X
Windows
WindowsLinux
OS X
Data schemeyesschema-freeschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesnononoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
TinkerPop 3HTTP APIJDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesJava
Python
R
Scala
Groovy
Java
any language that supports HTTP callsC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnononoyes infosql, plpgsql, C
Triggersnonoyes infoTimer and event basedyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CorenonenoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesoptionalyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnononoyes
More information provided by the system vendor
Spark SQLTinkerGraphYanzaYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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More resources
Spark SQLTinkerGraphYanzaYugabyteDB
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