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Learn MorePros of Panoply
Pros of Segment
Pros of Panoply
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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 Panoply
Cons of Segment
Cons of Panoply
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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 Panoply?
It is the data warehouse built for analysts. Our data management platform automates all three key aspects of the data stack: data collection, management, and query optimization.
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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Jobs that mention Panoply and Segment as a desired skillset
What companies use Panoply?
What companies use Segment?
What companies use Panoply?
What companies use Segment?
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What tools integrate with Panoply?
What tools integrate with Segment?
What tools integrate with Panoply?
What tools integrate with Segment?
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What are some alternatives to Panoply and Segment?
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.
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.
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.