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DBMS > HEAVY.AI vs. LMDB vs. MaxDB vs. QuestDB vs. Solr

System Properties Comparison HEAVY.AI vs. LMDB vs. MaxDB vs. QuestDB vs. Solr

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLMDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonQuestDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA high performant, light-weight, embedded key-value database libraryA robust and reliable RDBMS optimized to run all major SAP solutionsA high performance open source SQL database for time series dataA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSKey-value storeRelational DBMSTime Series DBMSSearch engine
Secondary database modelsSpatial DBMSRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.symas.com/­symas-embedded-database-lmdbmaxdb.sap.comquestdb.iosolr.apache.org
Technical documentationdocs.heavy.aiwww.lmdb.tech/­docmaxdb.sap.com/­documentationquestdb.io/­docssolr.apache.org/­resources.html
DeveloperHEAVY.AI, Inc.SymasSAP, acquired from Software AG (Adabas-D) in 1997QuestDB Technology IncApache Software Foundation
Initial release20162011198420142006
Current release5.10, January 20220.9.32, January 20247.9.10.12, February 20249.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Sourcecommercial infoLimited community edition freeOpen Source infoApache 2.0Open Source infoApache Version 2
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++ and CUDACC++Java (Zero-GC), C++, RustJava
Server operating systemsLinuxLinux
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyesyes infoschema-free via InfluxDB Line Protocolyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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.nonononoyes
Secondary indexesnonoyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesnoyesSQL with time-series extensionsSolr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
WebDAV
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
C#
Java
Perl
PHP
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyesnoJava plugins
Triggersnonoyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnonenonehorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneSource-replica replicationSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID for single-table writesoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infothrough memory mapped filesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardyes
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LMDBMaxDB infoformerly named Adabas-DQuestDBSolr
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LMDBMaxDB infoformerly named Adabas-DQuestDBSolr
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