DB-EnginesDo you need a hard real time database?English
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Spark SQL vs. XTDB vs. YugabyteDB

System Properties Comparison Spark SQL vs. XTDB vs. YugabyteDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingA general purpose database with bitemporal SQL and Datalog and graph queriesHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.12
Rank#35  Overall
#21  Relational DBMS
Score0.00
Rank#363  Overall
#49  Document stores
Score3.11
Rank#98  Overall
#51  Relational DBMS
Websitespark.apache.org/­sqlgithub.com/­xtdb/­xtdb
xtdb.com
www.yugabyte.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlxtdb.com/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperApache Software FoundationJuxt Ltd.Yugabyte Inc.
Initial release201420192017
Current release3.3.0, June 20221.19, September 20212.6, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Yugabyte Cloud 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 languageScalaClojureC and C++
Server operating systemsLinux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Linux
OS X
Data schemeyesschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyes, extensible-data-notation formatyes
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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementslimited SQL, making use of Apache Calciteyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
HTTP REST
JDBC
JDBC
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
Clojure
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infosql, plpgsql, C
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CorenoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, each node contains all dataBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDByes 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 SQLXTDB infoformerly named CruxYugabyteDB
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 metrics900,000+ lifetime clusters deployed 5.5K+ GitHub stars 4.3K+ YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Spark SQLXTDB infoformerly named CruxYugabyteDB
Recent citations in the news

Novel tuning method for Spark SQL applications
16 June 2022, Tech Xplore

Mobilize.Net Announces SnowConvert for Apache Spark, Accelerating Migration to Snowpark
15 June 2022, PR Newswire

Starburst acquires Varada to accelerate data lake queries
23 June 2022, TechTarget

Legacy analytics tools are fighting for survival
22 June 2022, Analytics India Magazine

The State of Data Engineering 2022 | by Paul Singman | Whispering Data | Jun, 2022
20 June 2022, Medium

provided by Google News

Yugabyte Announces Fourth Annual Distributed SQL Summit to Accelerate Cloud Native Initiatives in Any Future
23 June 2022, businesswire.com

Can Yugabyte Become The Defacto Database For Large-Scale, Cloud Native Applications?
19 May 2022, Forbes

Yugabyte raises $188M to grow distributed SQL database
28 October 2021, TechTarget

How to choose a database (hint: boring is good)
16 June 2022, TechRepublic

Registration Open for Yugabyte's Second Annual Distributed SQL Summit (DSS) Asia
20 March 2022, businesswire.com

provided by Google News

Job opportunities

Data Engineer
HealthVerity, Remote

Data Analyst
Capgemini, Bristol, CT

SQL Developer
Capgemini, New York, NY

Senior Data Engineer
Nike, Beaverton, OR

Entry Level to Senior Level Software Developers
Lorven Group, Pineville, NC

Senior Database Engineer
WELLS FARGO BANK, Des Moines, IA

Sr. Data Engineer - Remote
DST Systems, Remote

Advanced Solutions Architect - E-Commerce Transactional Solutions (REMOTE)
Kroger General Office, Cincinnati, OH

Software Engineer 2 (Full-stack / Microservices)
U.S. Bank, Blue Ash, OH

Senior Database Engineer
WELLS FARGO BANK, Raleigh, NC

jobs by Indeed



Share this page

Featured Products

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Redis logo

The world’s most loved real‑time data platform.
Try free

Present your product here