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DBMS > Microsoft Azure Synapse Analytics vs. Solr vs. Sqrrl vs. Titan

System Properties Comparison Microsoft Azure Synapse Analytics vs. Solr vs. Sqrrl vs. Titan

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSolr  Xexclude from comparisonSqrrl  Xexclude from comparisonTitan  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.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA widely used distributed, scalable search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache AccumuloTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteazure.microsoft.com/­services/­synapse-analyticssolr.apache.orgsqrrl.comgithub.com/­thinkaurelius/­titan
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticssolr.apache.org/­resources.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperMicrosoftApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.Aurelius, owned by DataStax
Initial release2016200620122012
Current release9.5.0, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaJava
Server operating systemshostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
OS X
Unix
Windows
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyes
Typing infopredefined data types such as float or dateyesyes 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.noyes
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLyesSolr Parallel SQL Interfacenono
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
Java
PHP
.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
Clojure
Java
Python
Server-side scripts infoStored proceduresTransact SQLJava pluginsnoyes
Triggersnoyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding infomaking use of Hadoopyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor infomaking use of Hadoopyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnonoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)User authentification and security via Rexster Graph Server

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSolrSqrrlTitan
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