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DBMS > Amazon DocumentDB vs. InfluxDB vs. TerarkDB vs. Vertica

System Properties Comparison Amazon DocumentDB vs. InfluxDB vs. TerarkDB vs. Vertica

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonTerarkDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDBMS for storing time series, events and metricsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelDocument storeTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#182  Overall
#26  Document stores
Score19.93
Rank#33  Overall
#1  Time Series DBMS
Score0.06
Rank#315  Overall
#54  Key-value stores
Score22.55
Rank#29  Overall
#17  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.influxdata.com/­products/­influxdb-overviewgithub.com/­Terark/­terarkdbwww.vertica.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.influxdata.com/­influxdbgithub.com/­Terark/­terarkdb/­wikiwww.vertica.com/­documentation/­vertica
DeveloperTerarkVertica / Micro Focus infoprior to that Hewlett Packard
Initial release2019201320162005
Current release1.7.8, August 2019Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercial inforestricted open source version availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnonono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemshostedLinux
OS X infothrough Homebrew
Linux
Data schemeschema-freeschema-freeschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesNumeric data and Stringsnoyes
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.nononoyes
Secondary indexesyesnonono infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoSQL-like query languagenoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP API
JSON over UDP
C++ API
Java API
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnononoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlynoneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infoin enterprise version onlynoneMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyes
User concepts infoAccess controlAccess rights for users and rolessimple rights management via user accountsnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Amazon DocumentDBInfluxDBTerarkDBVertica infoVertica Analytics Platform
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
Cost-based models and subscription-based models are available
» more

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More resources
Amazon DocumentDBInfluxDBTerarkDBVertica infoVertica Analytics Platform
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