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DBMS > AlaSQL vs. GreptimeDB vs. Hypertable vs. Solr vs. Warp 10

System Properties Comparison AlaSQL vs. GreptimeDB vs. Hypertable vs. Solr vs. Warp 10

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHypertable  Xexclude from comparisonSolr  Xexclude from comparisonWarp 10  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryAn open source Time Series DBMS built for increased scalability, high performance and efficiencyAn open source BigTable implementation based on distributed file systems such as HadoopA widely used distributed, scalable search engine based on Apache LuceneTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument store
Relational DBMS
Time Series DBMSWide column storeSearch engineTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitealasql.orggreptime.comsolr.apache.orgwww.warp10.io
Technical documentationgithub.com/­AlaSQL/­alasqldocs.greptime.comsolr.apache.org/­resources.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperAndrey Gershun & Mathias R. WulffGreptime Inc.Hypertable Inc.Apache Software FoundationSenX
Initial release20142022200920062015
Current release0.9.8.11, March 20169.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2Open Source infoApache License 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 languageJavaScriptRustC++JavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeschema-freeschema-free, schema definition possibleschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or datenoyesnoyes infosupports customizable data types and automatic typingyes
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.nonoyesno
Secondary indexesnoyesrestricted infoonly exact value or prefix value scansyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesnoSolr Parallel SQL Interfaceno
APIs and other access methodsJavaScript APIgRPC
HTTP API
JDBC
C++ API
Thrift
Java API
RESTful HTTP/JSON API
HTTP API
Jupyter
WebSocket
Supported programming languagesJavaScriptC++
Erlang
Go
Java
JavaScript
C++
Java
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoPythonnoJava pluginsyes infoWarpScript
Triggersyesnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor on file system levelyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoSimple rights management via user accountsnoyesMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
AlaSQLGreptimeDBHypertableSolrWarp 10
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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AlaSQLGreptimeDBHypertableSolrWarp 10
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