Company profile: Datacoral
1.1 - Company Overview
Company description
- Provider of secure, end-to-end data infrastructure and integration as a service for analytics, enabling data scientists to build data products faster, with CDC connectors for PostgreSQL/MySQL; serverless ELT pipelines with data quality checks and metadata-driven orchestration; historical syncs; and integration from databases, APIs, and files into cloud warehouses like Snowflake and Amazon Redshift.
Products and services
- Data Integration Platform: Datacoral delivers a secure, enterprise-grade platform integrating data from databases, APIs, and file systems into Snowflake and Amazon Redshift, operating privately within your cloud
- End-to-End Data Pipelines: Datacoral architects serverless ELT pipelines with built-in data quality checks, metadata-driven orchestration, and full visibility into data flow, automating transformations when all required inputs arrive
- Change Data Capture (CDC) Connectors: Datacoral engineers database-grade connectors for PostgreSQL and MySQL that capture and replicate data changes to analytics warehouses, ensuring consistency and up-to-date information across downstream datasets
Key contacts
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Financial details
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1.2 - Competitors and similar companies to Datacoral
GridGain
HQ: United States
Website
- Description: Provider of an in-memory computing platform built on Apache Ignite. Offers a Unified Real-Time Data Platform combining in-motion and at-rest data for analytical, streaming, and transactional workloads; GridGain Nebula; Enterprise and Ultimate Editions with rolling production upgrades, enterprise-grade security, data compression, and point-in-time recovery; and Control Center for management and monitoring.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
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- Total funding raised: $●●●m
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Panoply
HQ: Israel
Website
- Description: Provider of a cloud data warehouse and ELT platform to sync, store, and access business data, and an end-to-end cloud data management platform for analytics that automatically tailors to needs and automates data management from source to analysis to streamline analysts' and data scientists' time to value.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
- Backers: ●●●●●●●●●●
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Cube
HQ: United States
Website
- Description: Provider of a semantic layer, Cube Cloud, for building consistent and secure data applications and managing and optimizing analytics workflows. The layer unifies business logic, centralizes governance and security, optimizes query performance, and integrates with any data endpoint.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
- Backers: ●●●●●●●●●●
- Acquisitions: ●●
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Hydrolix
HQ: United States
Website
- Description: Provider of a data lake platform for cost-efficient log management and large-scale data storage, management, and real-time analytics. Delivers stream processing for ingestion, enrichment, and transformation; indexed search with per-column indexes; decoupled storage; advanced compression; data lifecycle management with merging and aging; and an ANSI SQL query system integrating with popular visualization tools.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
- Backers: ●●●●●●●●●●
- Acquisitions: ●●
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BlueData
HQ: United States
Website
- Description: Provider of a leading container-based software platform for AI, machine learning, data science, and big data analytics that helps enterprises accelerate deployments for faster time-to-value and lower TCO, leveraging Docker container technology and patented innovations. Offerings include public cloud cluster import (EKS, GKE, AKS) and provisioning and management of Amazon EKS Anywhere on bare metal.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
- Backers: ●●●●●●●●●●
- Acquisitions: ●●
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2.M&A buyers
2.1 Potential strategic acquirers in the sector
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2.2 - Strategic buyer groups for Datacoral
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Buyer group 3: ████████ ████████
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3. Investors and private equity firms
3.1 - Buyout funds investing in similar companies to Datacoral
2.2 - Growth funds investing in similar companies to Datacoral
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4 - Top valuation comps for Datacoral
4.2 - Public trading comparable groups for Datacoral
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