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DBMS > Heroic vs. Microsoft Azure Synapse Analytics vs. NuoDB vs. Vertica vs. Warp 10

System Properties Comparison Heroic vs. Microsoft Azure Synapse Analytics vs. NuoDB vs. Vertica vs. Warp 10

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNuoDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerNuoDB is a webscale distributed database that supports SQL and ACID transactionsCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS infoColumn orientedTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitegithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticswww.3ds.com/­nuodb-distributed-sql-databasewww.vertica.comwww.warp10.io
Technical documentationspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analyticsdoc.nuodb.comvertica.com/­documentationwww.warp10.io/­content/­02_Getting_started
DeveloperSpotifyMicrosoftDassault Systèmes infooriginally NuoDB, Inc.OpenText infopreviously Micro Focus and Hewlett PackardSenX
Initial release20142016201320052015
Current release12.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infolimited edition freecommercial infoLimited community edition freeOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++C++Java
Server operating systemshostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.schema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyes infovia ElasticsearchyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.no
SQL infoSupport of SQLnoyesyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.no
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
Java
PHP
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoTransact SQLJava, SQLyes, PostgreSQL PL/pgSQL, with minor differencesyes infoWarpScript
Triggersnonoyesyes, called Custom Alertsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningdata is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioning, hierarchical partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoManaged transparently by NuoDBMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infotunable commit protocolACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
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.noyes infoTemporary tablenoyes
User concepts infoAccess controlyesStandard SQL roles/ privileges, Administrative Usersfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
HeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNuoDBVertica infoOpenText™ Vertica™Warp 10
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more

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More resources
HeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNuoDBVertica infoOpenText™ Vertica™Warp 10
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