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DBMS > atoti vs. Informix vs. Qdrant vs. Solr

System Properties Comparison atoti vs. Informix vs. Qdrant vs. Solr

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonInformix  Xexclude from comparisonQdrant  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataA high-performance vector database with neural network or semantic-based matchingA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelObject oriented DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBVector DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score1.28
Rank#167  Overall
#7  Vector DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websiteatoti.iowww.ibm.com/­products/­informixgithub.com/­qdrant/­qdrant
qdrant.tech
solr.apache.org
Technical documentationdocs.atoti.ioinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
qdrant.tech/­documentationsolr.apache.org/­resources.html
DeveloperActiveViamIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.QdrantApache Software Foundation
Initial release198420212006
Current release14.10.FC5, November 20209.6.1, May 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infofree developer edition availableOpen Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and JavaRustJava
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Docker
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyes infoSince Version 12.10 support for JSON/BSON datatypesNumbers, Strings, Geo, Booleanyes 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.noyes
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textyes infoAll search fields are automatically indexed
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesnoSolr Parallel SQL Interface
APIs and other access methodsJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresPythonyesJava plugins
Triggersyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Collection-level replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistencyEventual Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlUsers with fine-grained authentication, authorization, and auditing controlsKey-based authenticationyes

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atotiInformixQdrantSolr
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