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Bright Computing

Bright Computing Alternatives & Competitors

(1)5.0 out of 5

Looking for alternatives to Bright Computing? Tons of people want Big Data Processing and Distribution Software. What's difficult is finding out whether or not the software you choose is right for you. Microsoft SQL, Google BigQuery, Snowflake, and Qubole are the most popular alternatives and competitors to Bright Computing.

Top Alternatives to Bright Computing

  • Microsoft SQL
  • Google BigQuery
  • Snowflake
  • Qubole
  • Hadoop HDFS

Top 20 Alternatives & Competitors to Bright Computing

    #1
    #1
  1. Microsoft SQL

    (1,984)4.4 out of 5

    SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.

    Categories in common with Bright Computing:
  2. SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.

    Categories in common with Bright Computing:

    UC
    SQL Database is available as Cloud Database as well using Microsoft Azure Cloud.
    #2
    #2
  3. Google BigQuery

    (282)4.4 out of 5

    Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.

    Categories in common with Bright Computing:
  4. Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.

    Categories in common with Bright Computing:

    Jagadish C.
    JC
    The ability to scale, load, and deliver amazing performance. Just by switching from other "unnamed" big data platform we were able to reduce cost by a factor of 6 by judiciously using BigQuery. And...Read more
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    #3
    #3
  5. Snowflake

    (280)4.6 out of 5
    Optimized for quick response

    Snowflake’s cloud data platform shatters the barriers that have prevented organizations of all sizes from unleashing the true value from their data. Thousands of customers deploy Snowflake to advance their organizations beyond what was possible by deriving all the insights from all their data by all their business users. Snowflake equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure, and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications. Snowflake: Data without limits. Find out more at Snowflake.com.

    Categories in common with Bright Computing:
  6. Snowflake’s cloud data platform shatters the barriers that have prevented organizations of all sizes from unleashing the true value from their data. Thousands of customers deploy Snowflake to advance their organizations beyond what was possible by deriving all the insights from all their data by all their business users. Snowflake equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure, and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications. Snowflake: Data without limits. Find out more at Snowflake.com.

    Categories in common with Bright Computing:

    IA
    computation and storage are decoupled so we can keeping on adding storage without adding unnecessary computing power
    #4
    #4
  7. Qubole

    (257)4.0 out of 5
    Optimized for quick response

    Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon, Microsoft and Google Clouds

    Categories in common with Bright Computing:
  8. Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon, Microsoft and Google Clouds

    Categories in common with Bright Computing:

    Yili Y.
    YY
    The way you can access, analysis and viz data in a single place. Plus it's faster to run queries in qubole
    #5
    #5
  9. Hadoop HDFS

    (94)4.3 out of 5

    Hadoop HDFS is a distributed, scalable, and portable filesystem written in Java.

    Categories in common with Bright Computing:
  10. Hadoop HDFS is a distributed, scalable, and portable filesystem written in Java.

    Categories in common with Bright Computing:

    UI
    I like it because it eliminates the bottleneck of insufficient computing power either on my laptop or company server.
    #6
    #6
  11. Amazon EMR

    (47)4.0 out of 5

    Amazon EMR is a web-based service that simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective to distribute and process vast amounts of data across dynamically scalable Amazon EC2 instances.

    Categories in common with Bright Computing:
  12. Amazon EMR is a web-based service that simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective to distribute and process vast amounts of data across dynamically scalable Amazon EC2 instances.

    Categories in common with Bright Computing:

    SK
    .It allows to work on large amount of data an on different framework. EMR offers the expandable low-configuration service as an easier alternative to running in-house cluster computing
    #7
    #7
  13. TIMi Suite

    (31)4.9 out of 5

    The TIMi Suite: a complete and integrated suite of datamining tools that are covering all your analytical needs for your enterprise!

    Categories in common with Bright Computing:
  14. The TIMi Suite: a complete and integrated suite of datamining tools that are covering all your analytical needs for your enterprise!

    Categories in common with Bright Computing:

    Lei D.
    LD
    --- TIMi is a tool you can easily learn and start to use. --- It can automatically detect the trends in the independent variables --- It can quickly create an interpretable model with excellent...Read more
    #8
    #8
  15. Druid

    (29)4.2 out of 5

    Open source streaming data store for interactive analytics at scale.

    Categories in common with Bright Computing:
  16. Open source streaming data store for interactive analytics at scale.

    Categories in common with Bright Computing:

    UC
    Ease of use. Both inserting the data through Kafka or querying, both were pretty intuitive.
    #9
    #9
  17. Google Cloud Dataflow

    (29)4.1 out of 5

    Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness.

    Categories in common with Bright Computing:
  18. Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness.

    Categories in common with Bright Computing:

    AA
    There are users that require immense computing power to create. Google Cloud Platform can provide that without taxing valuable resources. With this, companies can offer the best graphics, images,...Read more
    #10
    #10
  19. Databricks

    (21)4.2 out of 5

    Making big data simple

    Categories in common with Bright Computing:
  20. Making big data simple

    Categories in common with Bright Computing:

    Prashidha K.
    PK
    Databricks had very powerful distributed computing built in with easy to deploy optimized clusters for spark computations. The notebooks with MLFlow integration makes it easy to use for Analytics...Read more
    #11
    #11
  21. Snowplow Analytics

    (25)4.6 out of 5

    Snowplow is a data delivery platform that collects and operationalizes behavioral data at scale. We empower you and your team to rise above the difficulties of data delivery and organization, enabling you to focus on your data journey.

    Categories in common with Bright Computing:
  22. Snowplow is a data delivery platform that collects and operationalizes behavioral data at scale. We empower you and your team to rise above the difficulties of data delivery and organization, enabling you to focus on your data journey.

    Categories in common with Bright Computing:

    AK
    Tacking configuration is simple and clear Enrichments are useful Pipeline just works Support is really-really helpful
    #12
    #12
  23. Cloudera

    (25)4.1 out of 5

    Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise.

    Categories in common with Bright Computing:
  24. Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise.

    Categories in common with Bright Computing:

    EI
    Great manager for the Hadoop ecosystem; Awesome performance
    #13
    #13
  25. Dremio

    (21)4.8 out of 5

    Dremio is a data analysis software. It is self-service data platform provided that users discover, accelerate and share data at any time.

    Categories in common with Bright Computing:
  26. Dremio is a data analysis software. It is self-service data platform provided that users discover, accelerate and share data at any time.

    Categories in common with Bright Computing:

    HB
    -Convenient web interface for running SQL queries on our data -Supports a broad range of data source -Processing for queries is extremely fast when accelerated (rarely over 1 second) -Python API...Read more
    #14
    #14
  27. Apache Ambari

    (21)4.2 out of 5

    Apache Ambari is a software project designed to enable system administrators to provision, manage and monitor a Hadoop cluster, and also to integrate Hadoop with the existing enterprise infrastructure.

    Categories in common with Bright Computing:
  28. Apache Ambari is a software project designed to enable system administrators to provision, manage and monitor a Hadoop cluster, and also to integrate Hadoop with the existing enterprise infrastructure.

    Categories in common with Bright Computing:

    UT
    Easy configuration Management, Access Control, Single Interface to manage all components .
    #15
    #15
  29. Azure Data Lake Store

    (20)4.6 out of 5

    Azure Data Lake Store is secured, massively scalable, and built to the open HDFS standard, allowing you to run massively-parallel analytics.

    Categories in common with Bright Computing:
  30. Azure Data Lake Store is secured, massively scalable, and built to the open HDFS standard, allowing you to run massively-parallel analytics.

    Categories in common with Bright Computing:

    UB
    Great options to connect to different distributed systems. Integration with Spark was simple and quick. Having access for root folder should be looked into to improve on security aspect. Do not...Read more
    #16
    #16
  31. Hortonworks Data Platform

    (11)4.0 out of 5

    Hadoop Distribution

    Categories in common with Bright Computing:
  32. Hadoop Distribution

    Categories in common with Bright Computing:

    Manyam M.
    MM
    HDP is the closest open source platform you can get in hadoop eco system with more choice of tools than everything else. The convenience of Ambari UI and API for building, deploying and managing...Read more
    #17
    #17
  33. Azure HDInsight

    (15)3.9 out of 5

    HDInsight is a fully-managed cloud Hadoop offering that provides optimized open source analytic clusters for Spark, Hive, MapReduce, HBase, Storm, Kafka, and R Server backed by a 99.9% SLA.

    Categories in common with Bright Computing:
  34. HDInsight is a fully-managed cloud Hadoop offering that provides optimized open source analytic clusters for Spark, Hive, MapReduce, HBase, Storm, Kafka, and R Server backed by a 99.9% SLA.

    Categories in common with Bright Computing:

    UC
    It is cost-effective and a good enterprise-grade service for open source analytics.
    #18
    #18
  35. Apache Beam

    (15)4.0 out of 5

    Apache Beam is an open source unified programming model designed to define and execute data processing pipelines, including ETL, batch and stream processing.

    Categories in common with Bright Computing:
  36. Apache Beam is an open source unified programming model designed to define and execute data processing pipelines, including ETL, batch and stream processing.

    Categories in common with Bright Computing:

    UT
    In terms of capabilities and generality, I think Apache Beam is currently the most advanced and most flexible framework for designing and implementing modern data-intensive applications. Perfectly...Read more
    #19
    #19
  37. Oracle Big Data Cloud Service

    (14)4.0 out of 5

    Oracle Big Data Cloud Service offers an integrated portfolio of products to help organize and analyze diverse data sources alongside existing data.

    Categories in common with Bright Computing:
  38. Oracle Big Data Cloud Service offers an integrated portfolio of products to help organize and analyze diverse data sources alongside existing data.

    Categories in common with Bright Computing:

    CG
    Lot of integration with the usual RDBMS technologies, its easy to use and lot of intutive techineques to run AI and R. There are number of learning and processing algorithms.
    #20
    #20
  39. Google Cloud Dataproc

    (14)4.3 out of 5

    Google Cloud Dataproco easily processes big datasets at low cost.

    Categories in common with Bright Computing:
  40. Google Cloud Dataproco easily processes big datasets at low cost.

    Categories in common with Bright Computing:

    UM
    Its easy to spin up and close dataproc clusters on demand, easy access to bigquery and google cloud storage and run spark job.