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DBMS > Databricks vs. Elasticsearch vs. LevelDB vs. SurrealDB

System Properties Comparison Databricks vs. Elasticsearch vs. LevelDB vs. SurrealDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonElasticsearch  Xexclude from comparisonLevelDB  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A 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 metricEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument store
Relational DBMS
Search engineKey-value storeDocument store
Graph DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websitewww.databricks.comwww.elastic.co/­elasticsearchgithub.com/­google/­leveldbsurrealdb.com
Technical documentationdocs.databricks.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdsurrealdb.com/­docs
DeveloperDatabricksElasticGoogleSurrealDB Ltd
Initial release2013201020112022
Current release8.6, January 20231.23, February 2021v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicenseOpen Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Rust
Server operating systemshostedAll OS with a Java VMIllumos
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes
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.yesnono
Secondary indexesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLwith Databricks SQLSQL-like query languagenoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesPython
R
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesno
Triggersyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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 integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integration
User concepts infoAccess controlnoyes, based on authentication and database rules
More information provided by the system vendor
DatabricksElasticsearchLevelDBSurrealDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksElasticsearchLevelDBSurrealDB
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