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DBMS > Spark SQL vs. Teradata Aster vs. TigerGraph vs. YDB

System Properties Comparison Spark SQL vs. Teradata Aster vs. TigerGraph vs. YDB

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigerGraph  Xexclude from comparisonYDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingPlatform for big data analytics on multistructured data sources and typesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSRelational DBMSGraph DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score1.83
Rank#141  Overall
#13  Graph DBMS
Score0.34
Rank#285  Overall
#43  Document stores
#130  Relational DBMS
Websitespark.apache.org/­sqlwww.tigergraph.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tigergraph.comydb.tech/­en/­docs
DeveloperApache Software FoundationTeradataYandex
Initial release2014200520172019
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++
Server operating systemsLinux
OS X
Windows
LinuxLinuxLinux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File StoreyesFlexible Schema (defined schema, partial schema, schema free)
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.noyes infoin Aster File Storenono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language (GSQL)SQL-like query language (YQL)
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesJava
Python
R
Scala
C
C#
C++
Java
Python
R
C++
Java
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoR packagesyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoSQL Map-Reduce Frameworkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.nononono
User concepts infoAccess controlnofine grained access rights according to SQL-standardRole-based access controlAccess rights defined for Yandex Cloud users

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More resources
Spark SQLTeradata AsterTigerGraphYDB
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