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DBMS > Spark SQL vs. YugabyteDB

System Properties Comparison Spark SQL vs. YugabyteDB

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Our visitors often compare Spark SQL and YugabyteDB with Cassandra, PostgreSQL and MongoDB.

Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingHigh-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.62
Rank#34  Overall
#21  Relational DBMS
Score1.12
Rank#154  Overall
#75  Relational DBMS
Websitespark.apache.org/­sqlwww.yugabyte.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperApache Software FoundationYugabyte Inc.
Initial release20142017
Current release3.0.0, June 20202.2.0, July 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Data schemeyesdepending on used data model
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languagesJava
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoyes infosql, plpgsql, C
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreHash and Range Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoyes
More information provided by the system vendor
Spark SQLYugabyteDB
Specific characteristicsGain Developer Agility Leverage full power of PostgreSQL-compatible SQL and distributed...
» more
Competitive advantagesYugabyteDB is a distributed ACID-compliant database that brings together four must-have...
» more
Typical application scenariosYugabyteDB is a good fit for fast-growing, cloud native applications that need to...
» more
Licensing and pricing modelsYugabyteDB is a 100% open source project licensed under the permissive Apache 2.0...
» more

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Spark SQLYugabyteDB
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