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Learn MorePros of Altiscale
Pros of Google BigQuery
Pros of Snowflake
Pros of Altiscale
- An ops team comes with it, so you're free to analyze3
- SOC2, PCI, HIPAA, Kerberos3
- The easiest, lowest cost, highest performing option3
- Hadoop ops experts run it all for you, don't need ops3
- Our data sci & analysts would scream if went back toEMR3
- Automated compute bursting3
- Super elastic, scalable, secure3
- Optimized cloud gives faster results, better completion2
- Simple, easy to use UI - Data Navigator is great2
- Easier pricing. No node worries. No surprise bills2
- Real domain experts running hadoop@scale, great service1
Pros of Google BigQuery
- High Performance28
- Easy to use25
- Fully managed service22
- Cheap Pricing19
- Process hundreds of GB in seconds16
- Big Data12
- Full table scans in seconds, no indexes needed11
- Always on, no per-hour costs8
- Good combination with fluentd6
- Machine learning4
- Easy to manage1
- Easy to learn0
Pros of Snowflake
- Public and Private Data Sharing7
- Multicloud4
- Good Performance4
- User Friendly4
- Great Documentation3
- Serverless2
- Economical1
- Usage based billing1
- Innovative1
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Cons of Altiscale
Cons of Google BigQuery
Cons of Snowflake
Cons of Altiscale
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Cons of Google BigQuery
- You can't unit test changes in BQ data1
- Sdas0
Cons of Snowflake
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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 Google BigQuery?
Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure.
Load data with ease. Bulk load your data using Google Cloud Storage or stream it in.
Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.
What is Snowflake?
Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
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Jobs that mention Altiscale, Google BigQuery, and Snowflake as a desired skillset
What companies use Altiscale?
What companies use Google BigQuery?
What companies use Snowflake?
What companies use Altiscale?
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What tools integrate with Altiscale?
What tools integrate with Google BigQuery?
What tools integrate with Snowflake?
What tools integrate with Altiscale?
No integrations found
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What are some alternatives to Altiscale, Google BigQuery, and Snowflake?
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