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DBMS > ActivePivot vs. H2 vs. InfluxDB vs. RavenDB

System Properties Comparison ActivePivot vs. H2 vs. InfluxDB vs. RavenDB

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Editorial information provided by DB-Engines
NameActivePivot  Xexclude from comparisonH2  Xexclude from comparisonInfluxDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.DBMS for storing time series, events and metricsOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelObject oriented DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsGraph DBMS infoexperimental
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#219  Overall
#14  Object oriented DBMS
Score9.07
Rank#45  Overall
#28  Relational DBMS
Score26.32
Rank#27  Overall
#1  Time Series DBMS
Score3.80
Rank#86  Overall
#16  Document stores
Websiteactiveviam.com/­en/­products/­activepivot-in-memory-analytical-databasewww.h2database.comwww.influxdata.com/­products/­influxdb-overviewravendb.net
Technical documentationwww.h2database.com/­html/­main.htmldocs.influxdata.com/­influxdbravendb.net/­docs
DeveloperActiveViamThomas MuellerHibernating Rhinos
Initial release200520132010
Current release1.4.200, October 20192.0.2, November 20205.1, November 2020
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoMIT-License; commercial enterprise version availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
RavenDB Cloud: Deploy a fully managed RavenDB Cloud Database in minutes on AWS, Azure, and GCP. HIPPA compliant. Enjoy a globally distributed cluster with enterprise-grade security and reduce cloud storage costs by 50% with Native data compression.
Implementation languageJavaJavaGoC#
Server operating systemsAll OS with a Java VMLinux
OS X infothrough Homebrew
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsno
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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesSQL-like query languageSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
HTTP API
JSON over UDP
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Supported programming languagesJava.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresPost-processors in JavaJava Stored Procedures and User-Defined Functionsnoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor infoin enterprise version onlyMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoMapReduce functions can be defined in Linq
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoDepending on used storage engine
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsAccess control on document level using the Authorization Bundle
More information provided by the system vendor
ActivePivotH2InfluxDBRavenDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
RavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
RavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
IoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Toyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
RavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more
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More resources
ActivePivotH2InfluxDBRavenDB
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