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Altiscale vs Azure Synapse

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Altiscale
6
10
+ 1
28
Azure Synapse
100
227
+ 1
10
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Altiscale vs Azure Synapse: What are the differences?

Developers describe Altiscale as "Hadoop as a Service". we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning. On the other hand, Azure Synapse is detailed as "Analytics service that brings together enterprise data warehousing and Big Data analytics". It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Altiscale and Azure Synapse are primarily classified as "Big Data as a Service" and "Big Data" tools respectively.

Some of the features offered by Altiscale are:

  • Hadoop Dialtone
  • “Infinite” Hadoop
  • A Proactive Hadoop Helpdesk

On the other hand, Azure Synapse provides the following key features:

  • Complete T-SQL based analytics – Generally Available
  • Deeply integrated Apache Spark
  • Hybrid data integration
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Pros of Altiscale
Pros of Azure Synapse
  • 3
    An ops team comes with it, so you're free to analyze
  • 3
    SOC2, PCI, HIPAA, Kerberos
  • 3
    The easiest, lowest cost, highest performing option
  • 3
    Hadoop ops experts run it all for you, don't need ops
  • 3
    Our data sci & analysts would scream if went back toEMR
  • 3
    Automated compute bursting
  • 3
    Super elastic, scalable, secure
  • 2
    Optimized cloud gives faster results, better completion
  • 2
    Simple, easy to use UI - Data Navigator is great
  • 2
    Easier pricing. No node worries. No surprise bills
  • 1
    Real domain experts running hadoop@scale, great service
  • 4
    ETL
  • 3
    Security
  • 2
    Serverless
  • 1
    Doesn't support cross database query

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Cons of Altiscale
Cons of Azure Synapse
    Be the first to leave a con
    • 1
      Dictionary Size Limitation - CCI
    • 1
      Concurrency

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    What is Altiscale?

    we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.

    What is Azure Synapse?

    It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

    Need advice about which tool to choose?Ask the StackShare community!

    Jobs that mention Altiscale and Azure Synapse as a desired skillset
    Engineering Manager, API Client
    Postman
    San Francisco, United States
    View Job Details
    ageSimpleRequests+12
    Senior Analytics Engineer
    LaunchDarkly
    Oakland, California, United States
    View Job Details
    EscapeGoogleage+10
    What companies use Altiscale?
    What companies use Azure Synapse?
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    What tools integrate with Altiscale?
    What tools integrate with Azure Synapse?
      No integrations found

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      What are some alternatives to Altiscale and Azure Synapse?
      MySQL
      The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      Redis
      Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
      Amazon S3
      Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
      See all alternatives

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