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DBMS > BigchainDB vs. Elasticsearch vs. FoundationDB vs. LeanXcale vs. VictoriaMetrics

System Properties Comparison BigchainDB vs. Elasticsearch vs. FoundationDB vs. LeanXcale vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonFoundationDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA 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 metricOrdered key-value store. Core features are complimented by layers.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument storeSearch engineDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value store
Relational DBMS
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score132.83
Rank#7  Overall
#1  Search engines
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitewww.bigchaindb.comwww.elastic.co/­elasticsearchgithub.com/­apple/­foundationdbwww.leanxcale.comvictoriametrics.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlapple.github.io/­foundationdbdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperElasticFoundationDBLeanXcaleVictoriaMetrics
Initial release20162010201320152018
Current release8.6, January 20236.2.28, November 2020v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoElastic LicenseOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJavaC++Go
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or datenoyesno infosome layers support typing
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 indexesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoSQL-like query languagesupported in specific SQL layer onlyyes infothrough Apache Derbyno
APIs and other access methodsCLI Client
RESTful HTTP API
Java API
RESTful HTTP/JSON API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
Java
Scala
Server-side scripts infoStored proceduresyesin SQL-layer onlyno
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyesSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornonono
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, allLinearizable consistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoin SQL-layer onlyyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesno
User concepts infoAccess controlyesno

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More resources
BigchainDBElasticsearchFoundationDBLeanXcaleVictoriaMetrics
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