Alooma vs Altiscale vs Amazon Redshift

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Alooma
Alooma

24
33
+ 1
0
Altiscale
Altiscale

6
9
+ 1
28
Amazon Redshift
Amazon Redshift

859
608
+ 1
87
- No public GitHub repository available -
- No public GitHub repository available -
- No public GitHub repository available -

What is Alooma?

Get the power of big data in minutes with Alooma and Amazon Redshift. Simply build your pipelines and map your events using Alooma’s friendly mapping interface. Query, analyze, visualize, and predict now.

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 Amazon Redshift?

It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
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Why do developers choose Alooma?
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Why do developers choose Amazon Redshift?
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          What companies use Alooma?
          What companies use Altiscale?
          What companies use Amazon Redshift?

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          What tools integrate with Alooma?
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            What are some alternatives to Alooma, Altiscale, and Amazon Redshift?
            Segment
            Segment is a single hub for customer data. Collect your data in one place, then send it to more than 100 third-party tools, internal systems, or Amazon Redshift with the flip of a switch.
            Stitch
            Stitch is a simple, powerful ETL service built for software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.
            Datadog
            Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
            Kafka
            Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
            Talend
            It is an open source software integration platform helps you in effortlessly turning data into business insights. It uses native code generation that lets you run your data pipelines seamlessly across all cloud providers and get optimized performance on all platforms.
            See all alternatives
            Decisions about Alooma, Altiscale, and Amazon Redshift
            Ankit Sobti
            Ankit Sobti
            CTO at Postman Inc · | 11 upvotes · 169.8K views
            Looker
            Looker
            Stitch
            Stitch
            Amazon Redshift
            Amazon Redshift
            dbt
            dbt

            Looker , Stitch , Amazon Redshift , dbt

            We recently moved our Data Analytics and Business Intelligence tooling to Looker . It's already helping us create a solid process for reusable SQL-based data modeling, with consistent definitions across the entire organizations. Looker allows us to collaboratively build these version-controlled models and push the limits of what we've traditionally been able to accomplish with analytics with a lean team.

            For Data Engineering, we're in the process of moving from maintaining our own ETL pipelines on AWS to a managed ELT system on Stitch. We're also evaluating the command line tool, dbt to manage data transformations. Our hope is that Stitch + dbt will streamline the ELT bit, allowing us to focus our energies on analyzing data, rather than managing it.

            See more
            Google BigQuery
            Google BigQuery
            Amazon Redshift
            Amazon Redshift
            Amazon Athena
            Amazon Athena
            Amazon S3
            Amazon S3

            Hi all,

            Currently, we need to ingest the data from Amazon S3 to DB either Amazon Athena or Amazon Redshift. But the problem with the data is, it is in .PSV (pipe separated values) format and the size is also above 200 GB. The query performance of the timeout in Athena/Redshift is not up to the mark, too slow while compared to Google BigQuery. How would I optimize the performance and query result time? Can anyone please help me out?

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            Interest over time
            Reviews of Alooma, Altiscale, and Amazon Redshift
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            How developers use Alooma, Altiscale, and Amazon Redshift
            Avatar of Olo
            Olo uses Amazon RedshiftAmazon Redshift

            Aggressive archiving of historical data to keep the production database as small as possible. Using our in-house soon-to-be-open-sourced ETL library, SharpShifter.

            Avatar of Christian Moeller
            Christian Moeller uses Amazon RedshiftAmazon Redshift

            Connected to BI (Pentaho)

            Avatar of Kovid Rathee
            Kovid Rathee uses Amazon RedshiftAmazon Redshift

            OLAP and BI

            How much does Alooma cost?
            How much does Altiscale cost?
            How much does Amazon Redshift cost?
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