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DBMS > Datomic vs. InfluxDB vs. Lovefield vs. Manticore Search vs. Vertica

System Properties Comparison Datomic vs. InfluxDB vs. Lovefield vs. Manticore Search vs. Vertica

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonInfluxDB  Xexclude from comparisonLovefield  Xexclude from comparisonManticore Search  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDBMS for storing time series, events and metricsEmbeddable relational database for web apps written in pure JavaScriptOpen source search engine for searching in data from different sources. Forked of and compatible with Sphinx.Columnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMSTime Series DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#130  Overall
#65  Relational DBMS
Score28.38
Rank#29  Overall
#1  Time Series DBMS
Score0.30
Rank#269  Overall
#124  Relational DBMS
Score0.06
Rank#317  Overall
#16  Search engines
Score20.57
Rank#35  Overall
#21  Relational DBMS
Websitewww.datomic.comwww.influxdata.com/­products/­influxdb-overviewgoogle.github.io/­lovefieldmanticoresearch.comwww.vertica.com
Technical documentationdocs.datomic.comdocs.influxdata.com/­influxdbgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.manticoresearch.com/­latest/­html
github.com/­manticoresoftware/­manticoresearch
www.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperCognitectGoogleManticore SoftwareVertica / Micro Focus infoprior to that Hewlett Packard
Initial release20122013201420172005
Current release0.9.5951, July 20192.0.8, August 20212.1.12, February 2017Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0Open Source infoGPL version 2commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureGoJavaScriptC++
Server operating systemsAll OS with a Java VMLinux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesnoyes
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 indexesyesnoyesyes infofull-text index on all search fieldsno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language infovia JavaScript builder patternSQL-like query languageyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsRESTful HTTP APIHTTP API
JSON over UDP
Proprietary protocolADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesClojure
Java
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes infoTransaction Functionsnononoyes
TriggersBy using transaction functionsnoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoin enterprise version onlynoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor infoin enterprise version onlynonenoneMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes infoDepending on used storage engineyes infousing MemoryDB
User concepts infoAccess controlnosimple rights management via user accountsnonofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
DatomicInfluxDBLovefieldManticore SearchVertica 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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DatomicInfluxDBLovefieldManticore SearchVertica infoVertica Analytics Platform
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