The Modern Replacement for
Match IT and Synity
Synity was built for governance programs. Data Ladder is built for the
teams doing the actual work. Faster matching, full transparency, no
platform dependency.
- No black-box matching logic
- No 6-month implementations
- No module-by-module pricing surprises
Recognized by Gartner as cutting edge · 500+ enterprise teams · SOC 2 compliant
Trusted By
Trusted By
Here's what actually changes when you switch.
With Data Ladder. Without the Synity tax.
With Data Ladder Matching logic you can see and trust
Every match rule, weight, and score is visible, adjustable, and explainable to business users. You can prove a match to a regulator or a skeptical CFO without involving IT.
With Synity / Match IT Logic buried in workflows
Matching logic lives inside Synity Knowledge Platform workflows, typically managed by consultants. Business users have no direct visibility into why records matched or how scores were calculated.
With Data Ladder Live in days, not a project plan
Import your data, configure match rules visually, preview results in real time, and export. Your team is matching production data within a week. No platform alignment needed.
With Synity / Match IT Weeks to months to first value
Synity deployments are service-led and governance-dependent. Timeline compression requires consultants, workflow configuration, QA cycles, and stewardship sign-off.
With Data Ladder Scale to 100M+ records. Predictable cost.
Fixed, volume-based licensing. You know what you pay before you sign. Performance holds at 10M records matched in 41 minutes across two match definitions.
With Synity / Match IT Module-by-module pricing
Enterprise TCO for Synity varies with scope, module selection, and professional services. Matching, deduplication, and MDM are often separate line items that add up fast.
With Data Ladder Business users stay in control
Non-technical teams run profiling, matching, and deduplication jobs independently. IT is optional, not a prerequisite. Adjust rules, tune thresholds, and validate results in a single session.
With Synity / Match IT Administrator- or consultant-driven
Synity's platform assumes technical ownership. Business teams typically depend on IT or external services to manage matching jobs, rule changes, and output validation.
“DataLadder is cutting edge for enterprise data matching and quality at scale.”
Ted Friedman, Former VP Analyst, Gartner
5–12%
More accurate than IBM and SAS
41 min
To match 10M records across 2 definitions
30–40%
Faster implementations vs. Synity deployments
Across the capabilities that matter most for enterprise data matching programs.
Data Ladder vs. Synity: Feature by Feature
| Capability | Data Ladder (DME) | Synity / Match IT / Cortex |
|---|---|---|
| Fuzzy, phonetic, and ML-based matching | ✓ Core strength | Partial — rule-based within SKP workflows |
| No-code visual rule configuration | ✓ Full GUI, no developers needed | ✗ Requires technical setup or consultants |
| Match result explainability | ✓ Every score visible and adjustable | ✗ Logic dispersed across workflows |
| Scalability to 100M+ records | ✓ Proven at enterprise scale | Partial — performance varies by config |
| Time to first value | ✓ Days (same-day for simple projects) | ✗ Weeks to months |
| Deduplication and golden record | ✓ Built in, no extra module | Partial — extra cost depending on scope |
| API and CRM integrations | ✓ REST API, HubSpot, Salesforce, SQL | Partial — select connectors, services required |
| Cloud, on-prem, and hybrid deployment | ✓ All three supported | Partial — limited cloud options |
| Business user ownership | ✓ Full — no IT dependency | ✗ IT or consultant-led by design |
| Transparent, predictable pricing | ✓ Fixed, volume-based license | ✗ Opaque — varies with scope and modules |
Teams replacing Synity and its variants use Data Ladder across these programs.
Find your use case
Eliminate duplicate customer records across CRM and ERP
Customer MDM teams replacing Synity’s Data 360 module use DataMatch Enterprise to deduplicate and match records across Salesforce, SAP, and other sources without building a full governance program first. Business users configure match rules, preview results, and publish a golden record in a single session.
Typical outcome
40–60% reduction in duplicate customer records within 2 weeks of go-live
Clean data before migration. Compress your timeline.
ERP migration teams use DataMatch Enterprise to profile, match, and cleanse master data before cutover. Unlike Synity, which requires full platform onboarding for migration prep, DME runs independently alongside your existing tools. Most teams go from raw data to validated, migration-ready records in under two weeks.
Typical outcome
ERP migrations completed 2 months ahead of schedule after pre-migration data cleanup with DME
High-precision patient matching across facilities
Healthcare organizations matching patient records across facilities, EMR systems, or post-merger environments use DME’s phonetic and fuzzy matching to handle name variations, DOB discrepancies, and partial IDs. Fully auditable, HIPAA-conscious, and configurable by clinical informatics teams without IT overhead.
Typical outcome
Patient record accuracy above 98% across merged facility datasets.
Standardize financial entities across systems
Financial services teams use DME to match and reconcile counterparty data, account records, and reference data across trading, risk, and compliance systems. Full auditability makes it straightforward to demonstrate match rationale to regulators without deep platform knowledge.
Typical outcome
Full audit trail on every match decision — reviewable by compliance teams without IT involvement
Consolidate supplier records. Reduce payment errors.
Procurement teams use DME to deduplicate vendor and supplier records across ERP and procurement systems. Unlike Synity, there’s no governance program required — load your records, run a match job, review results visually, and export a consolidated vendor master within hours.
Typical outcome
Vendor master reduced by 35% on first pass, with duplicate payment risk eliminated
In their own words.
Why teams switch from Synity
"We had been running Match IT for three years and kept hitting walls at scale. DataMatch had us matching 80 million records accurately within two weeks of onboarding."
"The explainability was the deciding factor. With Synity, we could never clearly show an auditor why two records matched. With Data Ladder, every decision is traceable."
"Our ERP migration was 6 weeks ahead of schedule because we cleaned the data first with DataMatch. What would have taken months with a full Synity rollout took us 10 days."
* Quotes represent composite customer feedback. Real attributed case studies available upon request.
Synity has gone to market under multiple product and brand names. Data Ladder is the replacement regardless of which one you know.
You may know Synity by a different name
Synity
The parent brand and platform (Synity Knowledge Platform). Data Ladder is the focused, fast-to-deploy alternative for matching and data quality workloads.
Match IT
Synity's data matching module — now being sunset. DataMatch Enterprise is the direct replacement: same capabilities, faster deployment, full explainability.
360Science
The original name for Match IT before Synity acquired it. If you built workflows on 360Science, DataMatch Enterprise maps to the same match definitions and criteria logic.
Help IT Software
A market-specific Synity positioning. Same platform, same constraints. Data Ladder is the modern alternative for teams that have outgrown it.
360Sings
A Synity variant pitched for 360-degree customer view programs. Data Ladder delivers that with real-time matching, dedup, and golden record creation in one platform.
Cortex
Synity's analytics and data enrichment module. DataMatch Enterprise covers profiling, enrichment, and quality scoring without requiring the broader SKP environment.
Match ID
Identity resolution within the Synity ecosystem. Data Ladder's probabilistic and ML-based matching handles identity resolution at enterprise scale with full auditability.
Data 360
Synity's MDM-adjacent product. Data Ladder delivers golden record creation, deduplication, and stewardship workflows out of the box without the governance prerequisite.
Match IT is being sunset.
Your replacement is ready.
30-minute migration call. We will show you exactly
how DataMatch Enterprise maps to your current Match IT or Synity
workflows — using your data, not a generic slide deck.
No commitment required · Enterprise pilots available · Typical
time to value: 1–2 weeks
Common questions from teams evaluating a Synity replacement.
Frequently asked questions
Most teams are running DataMatch Enterprise against production data within 1–2 weeks of starting. There is no prerequisite governance program or extended onboarding. You can replicate your existing Match IT definitions and criteria logic directly in DME’s visual rule builder, and run both systems in parallel during the transition if needed. Book a migration call and we will map your current workflows in the first session.
For teams prioritizing transparency, speed, and ease of use, Data Ladder (DataMatch Enterprise) is one of the strongest alternatives available. It offers same-day deployment, no-code matching, and fully explainable scoring logic with real-time previews. Business users stay in control without depending on IT or consultants.
Yes. Match IT is the data matching and entity resolution module within the Synity Knowledge Platform. Depending on how your vendor or reseller packaged it, you may know the same product as Match IT, Synity, Help IT Software, 360Sings, Cortex, Match ID, or Data 360. All are part of the same platform family.
Yes. While Synity is built for full ERP transformation programs, DataMatch Enterprise is purpose-built for the upfront data preparation work that makes migrations succeed: cleaning, matching, and deduplicating records before cutover. Most teams go from raw data to migration-ready records in 1–2 weeks, well ahead of what a full Synity onboarding requires.
Yes. All matching logic in DataMatch Enterprise is visual, adjustable, and explainable by business users. In Synity, matching logic is typically embedded in governance workflows or managed by services teams, making it hard to trace a specific match result without deep platform knowledge. With Data Ladder, you can show any stakeholder exactly why two records matched and adjust the rule on the spot.
Yes. DataMatch Enterprise includes full REST API support for real-time or scheduled matching in active data pipelines. You can trigger match jobs programmatically, integrate results back into your CRM or ERP, and automate recurring dedup runs without any manual intervention.
Most teams have DataMatch Enterprise running against production data within a week of starting. There is no prerequisite governance program, no extended implementation, and no services dependency. You can run both systems in parallel during transition if needed — DME does not require a rip-and-replace approach.
Data Ladder is well-suited for regulated environments because every match decision is auditable and explainable. In healthcare, financial services, and government settings where match rationale must be traceable, DME’s transparent scoring is a direct compliance advantage. Data Ladder is also SOC 2 compliant and supports on-premise deployment for data residency requirements.
No. Data Ladder does not have a direct services arm that competes with implementation partners. If your team works with a systems integrator on an ERP or data migration program, DataMatch Enterprise can be deployed alongside that engagement as the data matching layer. Many SIs use DME to deliver faster, higher-quality data cleansing as part of their program.