Data Integration Tools

TrustRadius Top Rated for 2023

Top Rated Products

(1-5 of 6)

1
Astera Centerprise

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

2
TIBCO Integration (including BusinessWorks and Flogo)

TIBCO Integration is used to connect diverse business solutions, data sources, and devices into a single, seamless system.

3
SAP Data Intelligence

SAP Data Intelligence is presented by the vendor as a single solution to innovate with data. It provides data-driven innovation in the cloud, on premise, and through BYOL deployments. It is described by the vendor as the new evolution of the company's data orchestration and management…

4
TIBCO Data Virtualization

TIBCO Data Virtualization is an enterprise data virtualization solution that orchestrates access to multiple and varied data sources and delivers the datasets and IT-curated data services foundation for nearly any solution.

5
SQL Server Integration Services

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

All Products

(76-100 of 193)

76
RightData DataFactory

RightData’s DataFactory (formerly “Dextrus”) offers tools to connect to any data streaming or batch, on-premises or cloud and perform all the transformations and do all the pipeline building needed to get data business-ready. It’s an end-to-end, a no-code/low-code platform that…

77
FactBranch
0 reviews

FactBranch is a help desk integration tool from the small company of the same name in Vienna, that loads fresh customer data from a data source and displays it to agents and sales reps when they open a ticket or look at a contact. Data sources include popular DBs such as MySQL, PostgreSQL,…

78
Commercient SNYC

Commercient provides pre-built applications for syncing an ERP, CRM, and eCommerce systems. The flagship Commercient SYNC application eliminates the need for third-party toolkits for data integration and is an off-the-shelf, customizable solution that allows users to integrate data…

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79
Code2
0 reviews

Code2's no-code platform brings together scattered data, connecting it whether it resides at Hubspot, Shopify, Stripe, or some other database, so it can be viewed in real time, and used to power apps, consolidated and queried, and shared across enterprise teams.

80
Consensus Conductor

The Consensus Conductor interface engine and complete interoperability platform provides integration technology that supports all the latest standards for connectivity and data formats (API/FHIR, Web Service), addressing a wide range of interoperability challenges from the simple…

81
Diyotta
0 reviews

Diyotta is an enterprise-class data integration platform that connects enterprises to all their data. It provides a single integrated platform designed to make it easy to integrate enormous volumes of data from any source to any target, whether on-premises, in the cloud, or a hybrid…

82
Quantemplate
0 reviews

Quantemplate's data integration, automation and analytics platform aims to turn insurance data sources into trusted insights. It is presented as a data preparation solution for insurance professionals, automating data clean-up, then performing calculations, augmenting with external…

83
QXchange
0 reviews

QXchange is data integration software. It aims to quickly and easily transfer data between many standard data formats and applications, including MS Access, Excel, Comma delimited flat file, MS SQL Server, MySQL, QuickBooks, Salesforce.com and others.

84
AdroitLogic Integration Platform Server

Containerized orchestration middleware for full-stack management of small-to-large-scale UltraESB-driven integration solution deployments! Leverage the awesome scalability of Kubernetes and other orchestration platforms to host sophisticated integrationsCut down traditional budgets…

85
Lore IO
0 reviews

Lore IO is a collaborative data unification platform that promises to help companies ingest and unify disparate data sets from hundreds or thousands of sources. It generates standard outputs without the need for engineers to develop procedural ETL and data pipelines. The vendor aims…

86
UltraESB
0 reviews

A high-performance, lean and robust integration framework + runtime (ESB) Intuitive drag-n-drop graphical integration workflowsSimple, annotation- and markup-driven configuration modelComplete with monitoring, analytics, clustering/HAMultiple deployment options: in-house / cloud…

87
Altimetrik Altishell

Altimetrik headquartered in Southfield offers Altishell, an integration tool.

88
Trujay
0 reviews

The vendor says they understand the challenges faced by agencies, marketing groups, sales teams, and business of all sizes.With so many CRM platforms to choose from, and many new options coming out every day, the likelihood of you needing to migrate your data from one CRM to another…

89
ZigiOps
0 reviews

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…

90
Bitwise ETL Converter

The Bitwise ETL Converter supports data integration standardization and automates ETL migration from disparate systems.

91
DataEdge
0 reviews

DataEdge, a cloud-based Data Analytics and AI Engineering platform provides modular, scalable, and API-driven solutions to unlock data-powered insights. Configured to HITRUST standards, DataEdge is a no-code platform, which can be deployed in hours without development time.

92
Meltano
0 reviews

Meltano aims to bring the benefits of open source and DevOps best practices into the data lifecycle to help better manage all the tools in a data stack. It is open source, self-hosted, CLI-first, debuggable, and extensible.

93
Accutive Integration Hub

Accutive’s Integration Hub is a component based, low-configuration platform used to connect disparate, heterogeneous systems. Users can manage APIs throughout their lifecycle with granular API access and usage controls including capping and throttling, and budgetary based access.…

94
Windsor.ai
0 reviews

Windsor.ai is a marketing attribution software, developed specifically for marketing professionals and enterprises. It is utilized to optimize return on investment using Artificial Intelligence. It lets users incorporate all of their marketing data and run advanced marketing attribution…

95
Marketing4Dynamics

A tool to sync Mailchimp and Dynamics 365 CRM dataMarketing4Dynamics is a productivity app providing integration between Dynamics 365 CRM and Mailchimp. It syncs Mailchimp and Dynamics 365 CRM customers with their marketing statistics data ensuring access to information without navigating…

96
OneRoster
0 reviews

OneRoster is a standard specification for securely sharing class rosters and related data between a student information system (SIS) and any other system, typically a content application or learning information system (LMS), from 1EdTech (formerly known as IMS Global). The OneRoster…

97
Porter Connectors

VISUALIZE MARKETING DATA ON GOOGLE DATA STUDIO Porter is designed to import data to Google Data Studio in about 10 clicks with no developers or tedious implementations required (aka self-service). Integrate sources such as Facebook, LinkedIn, Twitter, TikTok, and Instagram and visualize…

98
datom
0 reviews

datom AI enables the creation of data pipelines so users can move data across any cloud. It features a drag-and-drop interface, within secure boundaries, and helps synchronize data as per a schedule the user sets. The vendor states their software is fully automated and maintenance-…

99
Flatfile
0 reviews

Flatfile is a data import tool from the company of the same name in Denver, that helps onboard and normalize data, automatically matching data columns and running advanced validation logic to ensure messy customer spreadsheets are transformed into clean, ready-to-use data for products.…

100
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…

Data Integration Tools TrustMap

TrustMaps are two-dimensional charts that compare products based on trScore and research frequency by prospective buyers. Products must have 10 or more ratings to appear on this TrustMap.

Learn More About Data Integration Tools

What are Data Integration Tools?

The need for data integration emerges from complex data center environments where multiple different systems are creating large volumes of data. This data must be understood in aggregate, rather than in isolation. Data integration is nothing more than a technique and technology for providing a unified and consistent view of enterprise-wide data.

Data Integration Tools Features & Capabilities

  • Ability to process data from a wide variety of sources such as mainframes, enterprise applications, spreadsheets, proprietary databases, etc.
  • Ability to process unstructured data from social media, email, web pages, etc.
  • Syntactic and semantic checks to make sure data conforms to business rules and policies
  • Deduplication and removal of incorrectly or improperly formatted data
  • Support for metadata

Types of Data Integration

There are several different approaches to achieving this goal which are quite different to each other and essentially solve slightly different problems: The main technologies for data integration are Extract, Transform Load (ETL), Enterprise Application Integration (EAI), and Enterprise Information Integration (EII), or data virtualization as it is more often called today.

Products listed in this category belong to the ETL data integration approach. Unlike the other listed approaches, ETL is designed for data migration and integration of large volumes of data to provide a basis for decision-making.

What is ETL?

ETL is a process whereby large volumes of required data are extracted from various databases and converted into a common format. The data is then cleaned, and loaded into the specialized reporting database called a data warehouse. It is then available for standard reporting purposes.

The data used in ETL can come from any source including flat files, Excel data, application data like CRM or ERP data, or mainframe application data. Perhaps the most difficult part of the process is the “Transform” component. Here, not only must the data be cleansed and any duplicates removed, but the software also has to resolve data consistency issues. It applies rules to consistently convert data to the appropriate form for the data warehouse or repository.

Once the data has been loaded into a data warehouse it is available for querying by business intelligence front-end processes that can pull consolidated data into reports and dashboards.

ETL Tools Comparison

When comparing ETL tools and data integration products, consider the following criteria:

Deployment: Many cloud-based and SaaS products are available. Cloud-based deployment can be simpler and leaner, especially for teams with limited IT infra structure. However, you’ll sacrifice some level of control and customization. An on-premise solution gives you more control, but at the price of more infrastructure and support staff. If you handle sensitive data, you’ll also need to make sure that your cloud provider has appropriate compliance and encryption.

Open-Source vs Proprietary: Open-source data integration tools are reliable, time-tested alternatives to proprietary software. They’re often cheaper, too. However, open-source tools aren’t great for new users or engineers that need a polished, UX-focused workflow. They’re best for experienced users that are prepared to fully engage with the software’s customization and integration capabilities.

Existing Ecosystem: ETL and data integration tools are designed to be flexible, but it’s almost universally simpler to pick a tool that’s designed with your existing tech stack in mind. Start by evaluating these products, and expand your search only if they don’t meet core needs.

Use Case: If you’re just starting out, don’t pick a comprehensive platform. Start small, and grow later. If you know you’re planning to scale up, look for ETL tools that fit easily into larger pipelines.

Shortcomings of Data Warehouses

One shortcoming of the data warehouse approach is that the data is not always current. Data warehouses pull data from databases periodically in batches, not in real time. If the data in the source database has changed, this might not be reflected in the data in the warehouse. Various strategies can be employed to achieve “real-time ETL”, although some of them place a significant load on the database. This can have performance repercussions.

The simplest thing to do is simply increase the frequency of batch updates to near real-time processing. But there are other solutions including continuously feeding the database using real-time data transport technologies, the use of staging tables, or a real-time data cache.

Pricing Information

Enterprise-level data integration tools can be very expensive with some products costing upwards of $10,000 per user per year. On top of that, you may need to pay for professional services to get up and running. SMB solutions are significantly cheaper than this.

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Frequently Asked Questions

What businesses benefit most from data integration tools?

The more complex a business's data infrastructure is, the more they benefit from a data integration tool. More data sources, complex metadata, and large volumes of data are all challenges that data integration tools can help with.

What are the best Data Integration Tools?

The top rated data integration tools are as follows:

  1. Matillion
  2. Astera Centerprise
  3. Oracle GoldenGate
  4. Task Factory


What is ETL best for compared to other data integration tools?

ETL data integration is best for mass data migration, and for integrating large volumes of data at one time. ETL can also access data from many sources and formats, so it is also useful for businesses with many data types and sources.