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DBMS > EXASOL vs. Milvus vs. Solr vs. Sqrrl vs. TerminusDB

System Properties Comparison EXASOL vs. Milvus vs. Solr vs. Sqrrl vs. TerminusDB

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonMilvus  Xexclude from comparisonSolr  Xexclude from comparisonSqrrl  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A DBMS designed for efficient storage of vector data and vector similarity searchesA widely used distributed, scalable search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache AccumuloScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSVector DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
Secondary database modelsSpatial DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitewww.exasol.commilvus.iosolr.apache.orgsqrrl.comterminusdb.com
Technical documentationwww.exasol.com/­resourcesmilvus.io/­docs/­overview.mdsolr.apache.org/­resources.htmlterminusdb.github.io/­terminusdb/­#
DeveloperExasolApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.DataChemist Ltd.
Initial release20002019200620122018
Current release2.3.4, January 20249.6.0, April 202411.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++, GoJavaJavaProlog, Rust
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyes infosupports customizable data types and automatic typingyesyes
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 indexesyesnoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesnoSolr Parallel SQL InterfacenoSQL-like query language (WOQL)
APIs and other access methods.Net
JDBC
ODBC
WebSocket
RESTful HTTP APIJava API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesJava
Lua
Python
R
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsnoJava pluginsnoyes
Triggersyesnoyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infomaking use of HadoopGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infomaking use of HadoopJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardRole based access control and fine grained access rightsyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Role-based access control
More information provided by the system vendor
EXASOLMilvusSolrSqrrlTerminusDB infoformer name was DataChemist
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
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Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
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Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
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Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
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EXASOLMilvusSolrSqrrlTerminusDB infoformer name was DataChemist
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