Most businesses have data stored in a variety of locations, from in-house databases to SaaS platforms. To get a full picture of their finances and operations, they pull data from all those sources into a data warehouse or data lake and run
analytics against it. But they don't want to build and maintain their own data pipelines.
Fortunately, it’s not necessary to code everything in-house. Here's an comparison of three such tools, head to head.
About Precisely Connect
Precisely (formerly Syncsort) has a portfolio of applications centered around integrating systems, optimizing data infrastructure, improving data quality, and assuring data availability and security. Precisely Connect, formerly known as Syncsort Connect ETL and before that DMX, is the company's ETL tool.
The StreamSets DataOps Platform includes five components:
Control Hub is the dashboard for building, deploying, and operating data flows.
Data Collector is an open source tool for designing streaming data pipelines with both a graphical UI and a command-line interface.
Data Collector Edge is a data ingestion and analytics tool for IoT and cybersecurity edge systems that runs via an ultralight agent.
Data Protector discovers and secures sensitive data as it moves through a pipeline, to aid compliance with GDPR, HIPAA, and other regulations.
DataFlow Performance Manager adds historical comparisons and data SLAs for availability, accuracy, and security.
Stitch Data Loader is a cloud-based platform for ETL — extract, transform, and load. More than 3,000 companies use Stitch to move billions of records every day from SaaS applications and databases into data warehouses and data lakes, where it can be analyzed with BI tools. Stitch is a Talend company and is part of the Talend Data Fabric.
||ETL, transformations, data prep
||Data ingestion, ELT
||Full table; incremental replication via custom SELECT statements
||Full replication or change data capture
||Full table; incremental via change data capture or SELECT/replication keys
||More than 100
|Ability for customers to add new data sources
|Connects to data warehouses? Data lakes?
||Yes / No
||Yes / Yes
||Yes / Yes
||Requires a conversation with sales
||Requires a conversation with sales
||Options for self-service or talking with sales. Also available from the AWS store.
|Compliance, governance, and security certifications
||HIPAA, GDPR, SOC 2
Talend Data Fabric
||Annual contracts. StreamSets Data Collector is open source, other parts of the platform are proprietary.
||Month to month or annual contracts. Open source integrations
||API for creating dataflows
||Import API, Stitch Connect API for integrating Stitch with other platforms,
open source project
Let's dive into some of the details of each platform.
Precisely Connect provides pre-load transformations on records — such as aggregation, filter, and lookup — and data, including mathematical, logical, text, and date operations. Users define transformations through a graphical interface.
Stitch is an ELT product. Within the pipeline, Stitch does only transformations that are required for compatibility with the destination, such as translating data types or denesting data when relevant. Stitch is part of Talend, which also provides tools for transforming data either within the data warehouse or via external processing engines such as Spark and MapReduce. Transformations can be defined in SQL, Python, Java, or via graphical user interface.
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Connectors: Data sources and destinations
Each of these tools supports a variety of data sources and destinations.
Precisely Connect supports fewer than 20 data sources — mostly databases, plus JSON and XML files. It can write data to fewer than 20 data sources — mostly on-premises data warehouses, plus analytics platforms like Tableau and QlikView.
StreamSets Data Collector (SDC) supports more than 40 storage and database sources, plus Kafka Streams and MapR Streams; no SaaS integrations are available other than Salesforce. Destinations include Google BigQuery, Snowflake, Amazon S3, Microsoft Azure SQL Data Lake, and more than 30 other database, storage, and streaming platforms.
more than 100 database and SaaS integrations
as data sources, and eight data warehouse and data lake destinations. Customers can contract with Stitch to build new sources, and anyone can add a new source to Stitch by developing it according to the standards laid out in
Singer, an open source toolkit for writing scripts that move data. Singer integrations can be run independently, regardless of whether the user is a Stitch customer. Running Singer integrations on
Stitch’s platform allows users to take advantage of Stitch's monitoring, scheduling, credential management, and autoscaling features.
Support, documentation, and training
Data integration tools can be complex, so vendors offer several ways to help their customers. Online documentation is the first resource users often turn to, and support teams can answer questions that aren't covered in the docs. Vendors of the
more complicated tools may also offer training services.
Precisely provides support through an online support portal, as well as via email and phone. Documentation is available only to customers via the support portal. The company offers online training materials and consulting services.
StreamSets provides support through a Zendesk ticketing system. Documentation is comprehensive. Digital training materials are available.
Stitch provides in-app chat support to all customers, and phone support is available for Enterprise customers. Support SLAs are available. Documentation is comprehensive and is open source —
anyone can contribute
additions and improvements or repurpose the content. Stitch does not provide training services.
Pricing isn't disclosed.
StreamSets provides a 30-day free trial. Pricing isn't disclosed.
that scales to fit a wide range of budgets and company sizes. All new users get an unlimited 14-day trial. After the trial, there's a free plan for smaller organizations and nonproduction workloads. Standard plans range from $100 to $1,250 per month
depending on scale, with discounts for paying annually. Enterprise plans for larger organizations and mission-critical use cases can include custom features, data volumes, and service levels, and are priced individually.
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Which tool is best overall? That's something every organization has to decide based on its unique requirements, but we can help you get started.
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