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DBMS > Elasticsearch vs. Spark SQL vs. SurrealDB vs. Teradata

System Properties Comparison Elasticsearch vs. Spark SQL vs. SurrealDB vs. Teradata

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonSpark SQL  Xexclude from comparisonSurrealDB  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricSpark SQL is a component on top of 'Spark Core' for structured data processingA fully ACID transactional, developer-friendly, multi-model DBMSA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelSearch engineRelational DBMSDocument store
Graph DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.elastic.co/­elasticsearchspark.apache.org/­sqlsurrealdb.comwww.teradata.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsurrealdb.com/­docsdocs.teradata.com
DeveloperElasticApache Software FoundationSurrealDB LtdTeradata
Initial release2010201420221984
Current release8.6, January 20233.5.0 ( 2.13), September 2023v1.5.0, May 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache 2.0Open Sourcecommercial
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 languageJavaScalaRust
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
macOS
Windows
hosted
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeyes
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.nonoyes
Secondary indexesyes infoAll search fields are automatically indexednoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsSQL-like query languageyes infoSQL 2016 + extensions
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Deno
Go
JavaScript (Node.js)
Rust
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesnoyes infoUDFs, stored procedures, table functions in parallel
Triggersyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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.Memcached and Redis integrationnoyes
User concepts infoAccess controlnoyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
ElasticsearchSpark SQLSurrealDBTeradata
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