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Altiscale

6
10
+ 1
28
Treasure Data

28
44
+ 1
5
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Altiscale vs Treasure Data: 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, Treasure Data is detailed as "Flexible data analytics infrastructure as a service". Treasure Data's Big Data as-a-Service cloud platform enables data-driven businesses to focus their precious development resources on their applications, not on mundane, time-consuming integration and operational tasks. The Treasure Data Cloud Data Warehouse service offers an affordable, quick-to-implement and easy-to-use big data option that does not require specialized IT resources, making big data analytics available to the mass market.

Altiscale and Treasure Data belong to "Big Data as a Service" category of the tech stack.

Some of the features offered by Altiscale are:

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

On the other hand, Treasure Data provides the following key features:

  • Instant Integration- Using td-agent, you can start importing your data from existing log files, web and packaged applications right away.
  • Streaming or Batch?- You choose! Our data collection tool, td-agent, enables you to stream or batch your data to the cloud in JSON format.
  • Secure Upload- The connection between td-agent and the cloud is SSL-encrypted, ensuring secure transfer of your data.
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Pros of Altiscale
Pros of Treasure Data
  • 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
  • 2
    Scaleability, less overhead
  • 2
    Makes it easy to ingest all data from different inputs
  • 1
    Responsive to our business requirements, great support

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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 Treasure Data?

Treasure Data's Big Data as-a-Service cloud platform enables data-driven businesses to focus their precious development resources on their applications, not on mundane, time-consuming integration and operational tasks. The Treasure Data Cloud Data Warehouse service offers an affordable, quick-to-implement and easy-to-use big data option that does not require specialized IT resources, making big data analytics available to the mass market.

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Jobs that mention Altiscale and Treasure Data as a desired skillset
What companies use Altiscale?
What companies use Treasure Data?
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What tools integrate with Altiscale?
What tools integrate with Treasure Data?
    No integrations found

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    What are some alternatives to Altiscale and Treasure Data?
    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