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DBMS > Apache Impala vs. InfluxDB vs. Lovefield vs. Sadas Engine vs. Tigris

System Properties Comparison Apache Impala vs. InfluxDB vs. Lovefield vs. Sadas Engine vs. Tigris

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonInfluxDB  Xexclude from comparisonLovefield  Xexclude from comparisonSadas Engine  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDBMS for storing time series, events and metricsEmbeddable relational database for web apps written in pure JavaScriptSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsDocument storeSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websiteimpala.apache.orgwww.influxdata.com/­products/­influxdb-overviewgoogle.github.io/­lovefieldwww.sadasengine.comwww.tigrisdata.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.influxdata.com/­influxdbgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwww.tigrisdata.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleSADAS s.r.l.Tigris Data, Inc.
Initial release20132013201420062022
Current release4.1.0, June 20222.7.6, April 20242.1.12, February 20178.0
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0commercial infofree trial version availableOpen 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 languageC++GoJavaScriptC++
Server operating systemsLinuxLinux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
Linux
Windows
Linux
macOS
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyesyes
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.nonononono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSQL-like query language infovia JavaScript builder patternyesno
APIs and other access methodsJDBC
ODBC
HTTP API
JSON over UDP
JDBC
ODBC
Proprietary protocol
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScript.Net
C
C#
C++
Groovy
Java
PHP
Python
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenononono
TriggersnonoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlynonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version onlynonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engineyes infousing MemoryDByes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple rights management via user accountsnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
Apache ImpalaInfluxDBLovefieldSadas EngineTigris
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» 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
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More resources
Apache ImpalaInfluxDBLovefieldSadas EngineTigris
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