Data Mapping Software

Data Mapping Software Overview

Data mapping is a process in which multiple data sets are combined into a single database through matching fields as part of the ETL (extract, transform, load) process. The common format of the data is called the target schema. Data mapping software are the tools used for this combination. While this sounds like a simple task, different databases store data in slightly different ways, and a slight misinterpretation could be amplified through further analysis of the data, leading businesses to make decisions with inaccurate data.

Data mapping software have many paid and open source options as well as on-premise and cloud-based platforms. There are a number of use cases for data mapping software, but generally, these tools are used for data integration, data migration, and data transformation.

In data integration, data is taken from multiple sources and combined into one. For example, a company may collect user satisfaction data through internal surveys and contract out to another company to collect additional data. This data is unlikely to be in the same format, and data mapping is necessary to ensure all of the customer satisfaction data fits the target schema and can be used for further analysis.

Data migration is when data is moved from one database to another. If a company switches between database options, it is unlikely that data will be stored exactly the same way in both databases. Data mapping software can ease this transition by ensuring that the existing data is altered to meet the target schema of the new database. While it sounds simple, this is where manual data mapping can go wrong, and where data mapping software can be an asset.

Data transformation is when data is changed to the desired format. For example, data may be stored in the target schema in the database, but the data needs to be in a specific format to be analyzed in another program. Data mapping software can bridge that gap.

Top Rated Data Mapping Products

TrustRadius Top Rated for 2022

These products won a Top Rated award for having excellent customer satisfaction ratings. The list is based purely on reviews; there is no paid placement, and analyst opinions do not influence the rankings. Read more about the Top Rated criteria.

Data Mapping Products

(1-25 of 37) Sorted by Most Reviews

The list of products below is based purely on reviews (sorted from most to least). There is no paid placement and analyst opinions do not influence their rankings. Here is our Promise to Buyers to ensure information on our site is reliable, useful, and worthy of your trust.

Microsoft SQL Server

Microsoft SQL Server is a relational database.

SQL Server Integration Services
Customer Verified

Microsoft's SQL Server Integration Services (SSIS) is a data integration solution.

Key Features

  • Simple transformations (56)
    88%
    8.8
  • Connect to traditional data sources (56)
    88%
    8.8
  • Complex transformations (55)
    77%
    7.7
Boomi

Boomi is a cloud-based, on-premise, or hybrid integration platform. It offers a low-code/no-code interface with the capacity for API and EDI connections for integrating with external organizations and systems, as well as compliance with data protection regulations.

Key Features

  • Support for real-time and batch integration (28)
    88%
    8.8
  • Pre-built connectors (28)
    86%
    8.6
  • Monitoring console (29)
    83%
    8.3
Astera Centerprise

Centerprise Data Integrator is an integration platform that includes tools for data integration, data transformation, data quality, and data profiling.

Key Features

  • Simple transformations (25)
    86%
    8.6
  • Connect to traditional data sources (25)
    86%
    8.6
  • Complex transformations (23)
    79%
    7.9
Pentaho

Pentaho is a suite of open source business intelligence and analytics products, now offered and supported by Hitachi Data Systems since the June 2015 acquisition.

Key Features

  • Multi-User Support (named login) (21)
    90%
    9.0
  • Formatting capabilities (20)
    83%
    8.3
  • Publish to PDF (20)
    76%
    7.6
Oracle Data Integrator

Oracle Data Integrator is an ELT data integrator designed with interoperability other Oracle programs. The program focuses on a high-performance capacity to support Big Data use within Oracle.

Key Features

  • Monitoring console (13)
    83%
    8.3
  • Pre-built connectors (12)
    77%
    7.7
  • Support for real-time and batch integration (13)
    70%
    7.0
HubSpot Operations Hub (PieSync)

HubSpot Operations Hub (based on technology from the former PieSync that was acquired by HubSpot November 2019) is a two-way contacts integration platform. The vendor emphasizes quick and easy setup automated customer and client data matching and updating between apps.

Jitterbit

Jitterbit is a cloud integration technology for cloud, social or mobile apps. It provides accessibility for non-technical users, including easily creating API’s and data transformation scripts within the integrations.

Key Features

  • Support for real-time and batch integration (12)
    90%
    9.0
  • Connector modification (12)
    90%
    9.0
  • Pre-built connectors (12)
    80%
    8.0
MuleSoft Anypoint Platform

The Anypoint Platform developed by MuleSoft and acquired by Salesforce in early 2018 is designed to connect apps, data, and devices anywhere, on-premises or in the cloud. This platform was built to offer out-of-the-box connectors as well as tools that architects and developers can…

Key Features

  • Pre-built connectors (11)
    92%
    9.2
  • Support for real-time and batch integration (11)
    88%
    8.8
  • Connector modification (11)
    82%
    8.2
IBM InfoSphere DataStage

IBM InfoSphere DataStage is an ETL platform for integrating data across enterprise systems, available on-premise or on cloud.

Key Features

  • Simple transformations (9)
    98%
    9.8
  • Connect to traditional data sources (9)
    95%
    9.5
  • Complex transformations (9)
    92%
    9.2
Talend Data Integration

The Talend Integration Suite, from Talend, is a set of tools for data integration.

Key Features

  • Connect to traditional data sources (9)
    89%
    8.9
  • Simple transformations (9)
    89%
    8.9
  • Complex transformations (9)
    89%
    8.9
dbt

dbt is an SQL development environment, developed by Fishtown Analytics, now known as dbt Labs. The vendor states that with dbt, analysts take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. dbt Core is…

Key Features

  • Complex transformations (5)
    98%
    9.8
  • Simple transformations (5)
    92%
    9.2
  • Data model creation (5)
    92%
    9.2
Pimcore

Pimcore is an enterprise PIM without software cost, centralizing all your product data and delivery across all channels. Pimcore aims to make it fast and easy to manage product information. The vendor says it can integrate, consolidate, and manage any type and any amount of digital…

Adeptia Connect

Adeptia in Chicago offers their B2B integration solution to enables enterprises to accelerate customer data onboarding from months to a matter of minutes. Adeptia Connect provides a simple user interface (a front-end) to manage all external connections and data interfaces for a company.…

Stitch from Talend

Stitch, or Stitch Data, now from Talend (acquired in late 2018) is an ETL tool for developers; the company was spun off from RJMetrics after that company's acquisition by Magento. Talend describes Stitch as a cloud-first, open source platform for rapidly moving data. It is available…

Altova MapForce Server

Mapforce Server, from Altova in Beverly, is a data integration platform which the vendor states supports all major databases and data formats without extra-cost "connectors," and automates integration of any combination of XML, JSON, database, EDI, XBRL, flat file, Excel, and/or…

Talend Data Fabric

Talend data fabric is a tool for managing all of an enterprise's data with a network design. Talend allows users to connect data from many sources, whether they are on-prem or cloud-hosted.

CData Sync

CData's Sync is a data pipeline tool able to connect data sources to the user's database or data warehouse, supporting at present over 200 possible sources, and a range of destinations (e.g. Snowflake, S3, Redshift), connecting on-premise or SaaS sources and destinations.

Alooma

Alooma is a data integration product providing ETL capabilities with a focus on output to data warehouse. It also offers pipeline monitoring and error handling protocols.

TrustArc

TrustArc headquartered in San Francisco offers their eponymous data privacy management platform, providing risk assessments, breach management, compliance reporting, among other features.

CloverDX

CloverDX is a rapid, end-to-end data integration solution. The vendor states that businesses choose CloverDX for its usability and intuitive controls, along with its lightweight footprint, flexibility, and processing speed. Achieving true, rapid data integration means much more than…

HVR

HVR helps organizations plan, predict, and respond with the freshest data available. HVR’s real-time data replication solution aims to help them better serve their customers, reduce margins, resource plan, and ultimately improve their bottom line. Powered by log-based change data…

ZigiOps

ZigiOps is an all-inclusive, customizable system that connects the individual roles of a company’s technology systems. It will act as a mediator between a company’s software tools and the people who use them. This moderation works simultaneously with a business’s internal processes…

Aunsight Golden Record

Aunsight Golden Record aims to turn siloed data from disparate systems into a single source of truth across the enterprise. The cloud-native platform cleanses data to reduce errors, and Golden Record as a Service matches and merges data together into a single source of accurate business…

Learn More About Data Mapping Software

What is data mapping software?

Data mapping is a process in which multiple data sets are combined into a single database through matching fields as part of the ETL (extract, transform, load) process. The common format of the data is called the target schema. Data mapping software are the tools used for this combination. While this sounds like a simple task, different databases store data in slightly different ways, and a slight misinterpretation could be amplified through further analysis of the data, leading businesses to make decisions with inaccurate data.

Data mapping software have many paid and open source options as well as on-premise and cloud-based platforms. There are a number of use cases for data mapping software, but generally, these tools are used for data integration, data migration, and data transformation.

In data integration, data is taken from multiple sources and combined into one. For example, a company may collect user satisfaction data through internal surveys and contract out to another company to collect additional data. This data is unlikely to be in the same format, and data mapping is necessary to ensure all of the customer satisfaction data fits the target schema and can be used for further analysis.

Data migration is when data is moved from one database to another. If a company switches between database options, it is unlikely that data will be stored exactly the same way in both databases. Data mapping software can ease this transition by ensuring that the existing data is altered to meet the target schema of the new database. While it sounds simple, this is where manual data mapping can go wrong, and where data mapping software can be an asset.

Data transformation is when data is changed to the desired format. For example, data may be stored in the target schema in the database, but the data needs to be in a specific format to be analyzed in another program. Data mapping software can bridge that gap.

Three Data Mapping Techniques

  • Manual Data Mapping: Data is manually mapped or hand-coded into the target schema by an IT professional. This is a tedious and time-consuming process and does not use data mapping software.
  • Schema Mapping: Less time-consuming than manual data mapping, schema mapping semi-automates the data mapping process. Data mapping software is used to form a relationship between the data and the target schema. The information is then checked by an IT professional who can adjust as needed.
  • Fully Automated Data Mapping: The most user-friendly option and the only one that does not require an IT background to complete. Fully automated options generally feature a drag and drop feature and require no coding to combine data into the target schema.

Common data mapping software features

  • Data integration
  • Data transformation
  • Data migration
  • Electronic Data Interchange (EDI) Exchange
  • Cloud integration
  • Salesforce integration
  • Code-free interfaces (on some products, not all)
  • Real time testing
  • Support for multiple data formats including XML, ERP, CRM, CSV, and Excel
  • Data profiling that finds data quality issues

Data mapping software comparison

When considering data mapping software consider the following:

  • Level of automation: A fully automated tool may be the best choice for a company where the people tasked with most of the data mapping do not have strong IT backgrounds. A schema mapping tool requires an IT background and some basic coding skills, whereas many fully automated tools do not require any coding skills to use.
  • Cloud usage: Data mapping software are available in on-premise and cloud-based platforms. If your organization is already using or planning to move the a cloud or hybrid-cloud for data storage, and needs to share data across multiple locations, it may be worthwhile to pursue cloud-based data mapping software. Whereas if you are based out of one location with on-site servers, an on-premise data mapping solution may be the best fit for you.
  • Input and output data formats: Data mapping software vary widely in what input and output formats they’re most compatible with, so ensuring that you choose the one that works best with the products you most frequently use is crucial. Some products work best with SQL databases, while others are built for NoSQL datasets. Obviously, if your staff use Excel spreadsheets extensively for data analysis, you don’t want to chose a data mapping software with limited Excel connections.
  • Security and compliance: Not every data mapping software has the same level of data protection. Certain products are HIPAA compliant, for example, which is required for anyone in the healthcare industry. Ensure that you choose a data mapping software that meets the security requirements of your company.

Start a data mapping software comparison here

Pricing

Pricing varies based on which format of data mapping software you choose. There are many open-source options that are the most affordable option. On-premise and cloud-based platforms are generally offered as a monthly or annual subscription. There are free plans with limited features that may work for smaller businesses with more limited data sets, but for those who need enterprise level data mapping, costs start around $500/month. Most pricing is custom based on the solution that best fits your company’s data set and feature needs.

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Frequently Asked Questions

What is data mapping software?

Data mapping software allows for companies with data sets that are in different formats and locations to consolidate their data through migration and integration. Companies can also transform that data into other formats to be used for further analysis. Data mapping software is available in cloud-based, on-premise, and hybrid formats. Products vary in features and the level of coding skill required to utilize the software.

Who benefits from data mapping software?

Companies with large amounts of data in multiple formats or who want to move between databases would benefit from data mapping software. Due to costs, smaller businesses may benefit most from an open-source option that requires more setup but is much more affordable.

How much does data mapping software cost?

Data mapping software has many free plans with basic features as well as customizable open-source platforms. Open source products generally require coding ability to use, but can greatly decrease costs. Pricing for paid products is generally custom based on a company’s needs and the size of their data set, but generally starts around $500/month. Paid products usually do not require that the user know how to code and are more user-friendly than open-source products.