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DBMS > Databend vs. Elasticsearch vs. Google Cloud Firestore vs. Graphite vs. RDF4J

System Properties Comparison Databend vs. Elasticsearch vs. Google Cloud Firestore vs. Graphite vs. RDF4J

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonElasticsearch  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGraphite  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA 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 WhisperRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSSearch engineDocument storeTime Series DBMSRDF store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational 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
Score0.74
Rank#222  Overall
#9  RDF stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.elastic.co/­elasticsearchfirebase.google.com/­products/­firestoregithub.com/­graphite-project/­graphite-webrdf4j.org
Technical documentationdocs.databend.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlfirebase.google.com/­docs/­firestoregraphite.readthedocs.iordf4j.org/­documentation
DeveloperDatabend LabsElasticGoogleChris DavisSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20212010201720062004
Current release1.0.59, April 20238.6, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoElastic LicensecommercialOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJavaPythonJava
Server operating systemshosted
Linux
macOS
All OS with a Java VMhostedLinux
Unix
Linux
OS X
Unix
Windows
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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.nononono
Secondary indexesnoyes infoAll search fields are automatically indexedyesnoyes
SQL infoSupport of SQLyesSQL-like query languagenonono
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP API
Sockets
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaScript (Node.js)
Python
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesyes, Firebase Rules & Cloud Functionsnoyes
Triggersnoyes infoby using the 'percolation' featureyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop ConnectorUsing Cloud Dataflownono
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 Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoyesnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infolockingyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integration
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.nono

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More resources
DatabendElasticsearchGoogle Cloud FirestoreGraphiteRDF4J infoformerly known as Sesame
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