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DBMS > Databricks vs. Dgraph vs. Elasticsearch vs. Google Cloud Firestore vs. Graphite

System Properties Comparison Databricks vs. Dgraph vs. Elasticsearch vs. Google Cloud Firestore vs. Graphite

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDgraph  Xexclude from comparisonElasticsearch  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGraphite  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.Distributed and scalable native Graph DBMSA 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 metricCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called Whisper
Primary database modelDocument store
Relational DBMS
Graph DBMSSearch engineDocument storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score7.36
Rank#53  Overall
#9  Document stores
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Websitewww.databricks.comdgraph.iowww.elastic.co/­elasticsearchfirebase.google.com/­products/­firestoregithub.com/­graphite-project/­graphite-web
Technical documentationdocs.databricks.comdgraph.io/­docswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlfirebase.google.com/­docs/­firestoregraphite.readthedocs.io
DeveloperDatabricksDgraph Labs, Inc.ElasticGoogleChris Davis
Initial release20132016201020172006
Current release8.6, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoElastic LicensecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaPython
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VMhostedLinux
Unix
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.yesnononono
Secondary indexesyesyesyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query languagenono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Java API
RESTful HTTP/JSON API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP API
Sockets
Supported programming languagesPython
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesyes, Firebase Rules & Cloud Functionsno
Triggersnoyes infoby using the 'percolation' featureyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via RaftyesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop ConnectorUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infolocking
Durability infoSupport for making data persistentyesyesyesyesyes
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 controlno infoPlanned for future releasesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.no
More information provided by the system vendor
DatabricksDgraphElasticsearchGoogle Cloud FirestoreGraphite
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDgraphElasticsearchGoogle Cloud FirestoreGraphite
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