Company profile: Data Mechanics
1.1 - Company Overview
Company description
- Provider of a managed, serverless Apache Spark platform for data engineers and scientists that automatically tunes infrastructure parameters and Spark configurations to improve stability, performance, and cost efficiency for pipelines, along with Delight, a monitoring dashboard offering enhanced metrics and visualizations for Spark applications in the cloud.
Products and services
- Automated Spark Tuning: Custom-engineered service that continuously adjusts CPU, memory, parallelism, shuffle, and I/O for every Apache Spark pipeline to stabilize jobs and improve performance
- Delight: Observability-grade monitoring dashboard for Apache Spark applications that delivers enhanced metrics and visualizations to help data scientists and engineers analyze application behavior and performance
- Serverless Spark Platform: Cloud-native managed system that optimizes Apache Spark applications by automatically tuning CPU, memory, parallelism, shuffle, and I/O per pipeline, improving performance and reducing cloud costs
Key contacts
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Financial details
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1.2 - Competitors and similar companies to Data Mechanics
Terracotta
HQ: United States
Website
- Description: Provider of in-memory data management solutions enabling low-latency access to Big Data and improved application performance at any scale. Offers Terracotta Server for distributed in-memory data with high availability, scalability, and automatic node reconnection; Ehcache for Java-based caching; and BigMemory Max and BigMemory Go for off-heap, high-availability, fast restartable in-memory storage.
- 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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Instaclustr
HQ: United States
Website
- Description: Provider of an online platform for open-source data infrastructure, delivering reliability at scale via an integrated platform for Apache Cassandra, Apache Kafka, Apache Spark, Redis, and Elasticsearch. Offers the Instaclustr Platform to deploy, manage, and monitor components, plus fully managed services for PostgreSQL, Apache Kafka, Kafka Connect, and OpenSearch on AWS, Azure, GCP, or on-premises.
- 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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SingleStore
HQ: United States
Website
- Description: Provider of a distributed SQL database for operational analytics and cloud-native applications, enabling real-time analytics on transactional and analytical workloads across various data types on any cloud, on-premises, or as a service. Offers SingleStore Helios managed cloud, professional services, technical account management, DBA as-a-service, and migration services.
- 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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Hadapt
HQ: United States
Website
- Description: Provider of an adaptive, cloud-optimized analytical platform for performing complex analytics on structured and unstructured data in an all-in-one system.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
- Backers: ●●●●●●●●●●
- Acquisitions: ●●
View full Hadapt company profile →
SearchStax
HQ: United States
Website
- Description: Provider of search experience solutions enabling marketers and developers to deliver fast, relevant website search: Site Search for real-time optimization with analytics; Managed Search to automate, manage, and scale hosted Solr in public/private clouds; Managed Search Serverless for seamless auto-scaling; Cloud Serverless to manage Solr workloads with scalability and cost-effectiveness; and Solr consulting.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
- Backers: ●●●●●●●●●●
- Acquisitions: ●●
View full SearchStax company profile →
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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 Data Mechanics
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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 Data Mechanics
2.2 - Growth funds investing in similar companies to Data Mechanics
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4 - Top valuation comps for Data Mechanics
4.2 - Public trading comparable groups for Data Mechanics
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