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DBMS > InfluxDB vs. Memgraph vs. Microsoft Azure Cosmos DB vs. Oracle Berkeley DB vs. Spark SQL

System Properties Comparison InfluxDB vs. Memgraph vs. Microsoft Azure Cosmos DB vs. Oracle Berkeley DB vs. Spark SQL

Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsAn open source graph database built for real-time streaming and compatible with Neo4jGlobally distributed, horizontally scalable, multi-model database serviceWidely used in-process key-value storeSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSGraph DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewmemgraph.comazure.microsoft.com/­services/­cosmos-dbwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlspark.apache.org/­sql
Technical documentationdocs.influxdata.com/­influxdbmemgraph.com/­docslearn.microsoft.com/­azure/­cosmos-dbdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperMemgraph LtdMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleApache Software Foundation
Initial release20132017201419942014
Current release2.7.6, April 202418.1.40, May 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercialOpen Source infocommercial license availableOpen Source infoApache 2.0
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 languageGoC and C++C, Java, C++ (depending on the Berkeley DB edition)Scala
Server operating systemsLinux
OS X infothrough Homebrew
LinuxhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free and schema-optionalschema-freeschema-freeyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyes infoJSON typesnoyes
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 infoonly with the Berkeley DB XML editionno
Secondary indexesnoyes infoAll properties auto-indexed by defaultyesno
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageyes infoSQL interfaced based on SQLite is availableSQL-like DML and DDL statements
APIs and other access methodsHTTP API
JSON over UDP
Bolt protocol
Cypher query language
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JDBC
ODBC
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoJavaScriptnono
TriggersnoJavaScriptyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infodynamic graph partitioningSharding infoImplicit feature of the cloud servicenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-source replication using RAFTyes infoImplicit feature of the cloud serviceSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolationMulti-item ACID transactions with snapshot isolation within a partitionACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesyesno
User concepts infoAccess controlsimple rights management via user accountsUsers, roles and permissionsAccess rights can be defined down to the item levelnono
More information provided by the system vendor
InfluxDBMemgraphMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBOracle Berkeley DBSpark SQL
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
You can check out our pricing model and licenses on the company website .
» more
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