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EventQL vs Pachyderm: What are the differences?
EventQL: The database for large-scale event analytics. EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries; Pachyderm: MapReduce without Hadoop. Analyze massive datasets with Docker. Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.
EventQL and Pachyderm can be primarily classified as "Big Data" tools.
EventQL and Pachyderm are both open source tools. Pachyderm with 3.81K GitHub stars and 369 forks on GitHub appears to be more popular than EventQL with 1.02K GitHub stars and 91 GitHub forks.
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Learn MorePros of EventQL
Pros of Pachyderm
Pros of EventQL
- 233
Pros of Pachyderm
- Containers3
- Versioning1
- Can run on GCP or AWS1
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Cons of EventQL
Cons of Pachyderm
Cons of EventQL
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Cons of Pachyderm
- Recently acquired by HPE, uncertain future.1
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- No public GitHub repository available -
What is EventQL?
EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries.
What is Pachyderm?
Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.
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What companies use EventQL?
What companies use Pachyderm?
What companies use EventQL?
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What companies use Pachyderm?
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What tools integrate with EventQL?
What tools integrate with Pachyderm?
What tools integrate with EventQL?
No integrations found
What tools integrate with Pachyderm?
What are some alternatives to EventQL and Pachyderm?
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Apache Flink
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
Amazon Athena
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
Apache Hive
Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.