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Segment vs Alation: What are the differences?
What is Segment? A single hub to collect, translate and send your data with the flip of a switch. 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.
What is Alation? Enterprise Data Catalog & Data Governance. The leader in collaborative data cataloging, it empowers analysts & information stewards to search, query & collaborate for fast and accurate insights.
Segment and Alation can be categorized as "Analytics Integrator" tools.
Some of the features offered by Segment are:
- A single API to integrate third-party tools
- Data replay that backfills new tools with historical data
- SQL support to automatically transform and load behavioral data into Amazon Redshift
On the other hand, Alation provides the following key features:
- Data Catalog
- Automatically indexes your data by source
- Automatically gathers knowledge about your data
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Learn MorePros of Alation
Pros of Segment
Pros of Alation
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Pros of Segment
- Easy to scale and maintain 3rd party services86
- One API49
- Simple39
- Multiple integrations25
- Cleanest API19
- Easy10
- Free9
- Mixpanel Integration8
- Segment SQL7
- Flexible6
- Google Analytics Integration4
- Salesforce Integration2
- SQL Access2
- Clean Integration with Application2
- Own all your tracking data1
- Quick setup1
- Clearbit integration1
- Beautiful UI1
- Integrates with Apptimize1
- Escort1
- Woopra Integration1
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Cons of Alation
Cons of Segment
Cons of Alation
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Cons of Segment
- Not clear which events/options are integration-specific2
- Limitations with integration-specific configurations1
- Client-side events are separated from server-side1
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What is Alation?
The leader in collaborative data cataloging, it empowers analysts & information stewards to search, query & collaborate for fast and accurate insights.
What is 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.
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What companies use Alation?
What companies use Segment?
What companies use Alation?
What companies use Segment?
See which teams inside your own company are using Alation or Segment.
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What tools integrate with Alation?
What tools integrate with Segment?
What tools integrate with Alation?
No integrations found
What tools integrate with Segment?
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What are some alternatives to Alation and Segment?
Google Tag Manager
Tag Manager gives you the ability to add and update your own tags for conversion tracking, site analytics, remarketing, and more. There are nearly endless ways to track user behavior across your sites and apps, and the intuitive design lets you change tags whenever you want.
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.
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 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.