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DBMS > Spark SQL vs. SurrealDB vs. Warp 10 vs. YugabyteDB

System Properties Comparison Spark SQL vs. SurrealDB vs. Warp 10 vs. YugabyteDB

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonSurrealDB  Xexclude from comparisonWarp 10  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingA fully ACID transactional, developer-friendly, multi-model DBMSTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitespark.apache.org/­sqlsurrealdb.comwww.warp10.iowww.yugabyte.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsurrealdb.com/­docswww.warp10.io/­content/­02_Getting_starteddocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperApache Software FoundationSurrealDB LtdSenXYugabyte Inc.
Initial release2014202220152017
Current release3.5.0 ( 2.13), September 2023v1.5.0, May 20242.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0
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.
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 languageScalaRustJavaC and C++
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Linux
OS X
Data schemeyesschema-freeschema-freedepending on used data model
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.nonono
Secondary indexesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
HTTP API
Jupyter
WebSocket
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
Deno
Go
JavaScript (Node.js)
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoyes infoWarpScriptyes infosql, plpgsql, C
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding infobased on HBaseHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on HBaseBased 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 systemImmediate Consistency infobased on HBaseStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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 controlnoyes, based on authentication and database rulesMandatory use of cryptographic tokens, containing fine-grained authorizationsyes
More information provided by the system vendor
Spark SQLSurrealDBWarp 10YugabyteDB
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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Spark SQLSurrealDBWarp 10YugabyteDB
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