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Updated yesterday · Independent Analysis
ClickHouse vs Databricks
Capability Overview
ClickHousevs Databricks
4.5G2-0.1 vs Databricks
Only in ClickHouse
- ✦ Column-oriented storage
- ✦ Vectorized query execution
- ✦ Real-time ingestion
✓ Free planFrom $66.52/moN/A users · est.
Databricksvs ClickHouse
4.6G2+0.1 vs ClickHouse
Only in Databricks
- ✦ Delta Lake (Open Table Format)
- ✦ Apache Spark
- ✦ MLflow (ML Tracking)
✓ Free plan10k+ users · est. 2013
Quick VerdictIndependent Analysis
ClickHouse and Databricks are both Databases tools. Compare features, pricing, and ratings below to find the best fit for your team.
When to Choose ClickHouse vs Databricks
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
ClickHouse Unique Strength
Real-time Product Analytics
Ingest clickstream events via Kafka, query 100B rows in under 1 second for live dashboards
→ Choose ClickHouse if this scenario applies to you. Databricks doesn't offer a comparable solution.
ClickHouse Unique Strength
Log Analytics Pipeline
Store and query server logs at petabyte scale with 10x better compression than Elasticsearch
→ Choose ClickHouse if this scenario applies to you. Databricks doesn't offer a comparable solution.
ClickHouse Unique Strength
Ad Tech Reporting
Count unique users and calculate click-through rates across billions of ad impressions in milliseconds
→ Choose ClickHouse if this scenario applies to you. Databricks doesn't offer a comparable solution.
ClickHouse Unique Strength
Time-series Monitoring
Replace InfluxDB with ClickHouse for metrics storage, gaining SQL query support and better compression
→ Choose ClickHouse if this scenario applies to you. Databricks doesn't offer a comparable solution.
Databricks Unique Strength
Delta Lake ACID Transactions on Cloud Object Storage
Databricks Delta Lake adds full ACID guarantees to Parquet files on S3 or ADLS, enabling concurrent reads and writes that corrupt data in plain Parquet pipelines without managing separate lock services.
→ Choose Databricks if this scenario applies to you. ClickHouse doesn't offer a comparable solution.
Databricks Unique Strength
ML Experiment Tracking With MLflow Autologging
Databricks integrates MLflow natively, auto-logging parameters, metrics, and model artifacts for every training run, reducing experiment comparison from hours of manual log parsing to a 30-second dashboard review.
→ Choose Databricks if this scenario applies to you. ClickHouse doesn't offer a comparable solution.
Databricks Unique Strength
Exactly-Once Kafka Processing With Structured Streaming
Databricks Structured Streaming processes Kafka events with exactly-once semantics and checkpointed state, supporting stateful aggregations across time windows without losing events on job restart.
→ Choose Databricks if this scenario applies to you. ClickHouse doesn't offer a comparable solution.
Pricing Comparison & PlansHigh· Verified Jun 28, 2026
ClickHouse Plans
Free tier available
Open Source
Open SourceBest for: This free plan is ideal for users who prefer self-hosting and managing their own ClickHouse deployments
- ✓Self-hosted deployment
- ✓Open-source columnar database
- ✓Real-time analytics on massive datasets
- ✓No cost for software
View on vendor site
MOST POPULARBasic
$67/moBest for: Testing / starter projects
- ✓1 replica x 8 GiB RAM, 2 vCPU
- ✓500 GB compressed data
- ✓500 GB backup data
- ✓10 GB public internet egress data transfer
- ✓Expert support with 1 business day response time
View on vendor site
Scale
$499/moBest for: Production + data at scale
- ✓Unlimited storage
- ✓Configurable memory
- ✓Compute-compute separation
- ✓2+ availability zones
- ✓Expert support with 1 hour response time 24x7 for Severity 1 issues
View on vendor site
Enterprise
Contact SalesBest for: Very large scale + enterprise
- ✓SAML Single sign-on authentication (SSO)
- ✓Private regions
- ✓Manual vertical scaling for custom profiles
- ✓Enterprise support with 30 min response time for Severity 1 issues
- ✓Named Lead Support Engineer
View on vendor site
Databricks Plans
Free tier available
SQL Classic
Contact SalesBest for: Ideal for foundational SQL analytics workloads
- ✓Run interactive SQL queries for data exploration on a self-managed SQL warehouse
- ✓Intelligent auto complete, ANSI SQL & Rest API
- ✓Massively parallel processing
View on vendor site
MOST POPULARSQL Pro
Contact SalesBest for: Designed for advanced SQL analytics with enhanced performance and concurrency
- ✓Better performance and extend the SQL experience on the lakehouse
- ✓Exploratory SQL, SQL ETL/ELT, data science and ML on a self-managed SQL warehouse
- ✓Intelligent auto complete, ANSI SQL & Rest API
- ✓Massively parallel processing & Predictive I/O
- ✓Streaming tables, materialized views, query federation, and workflows
View on vendor site
SQL Serverless
Contact SalesBest for: Offers fully managed, auto-scaling SQL endpoints for simplified operations
- ✓Best performance for high-concurrency BI
- ✓Extend the SQL experience on the lakehouse for exploratory SQL, SQL ETL/ELT, data science and ML
- ✓Fully managed, elastic, serverless SQL warehouse hosted in the customer's Databricks account
- ✓Intelligent auto complete, ANSI SQL & Rest API
- ✓Massively parallel processing & Predictive I/O
View on vendor site
CPU Serving
Contact SalesBest for: For deploying and scaling machine learning models using CPU resources
- ✓Serve any model, feature, or agent
- ✓High throughput, low latency, and autoscaling
View on vendor site
GPU Serving
Contact SalesBest for: Optimized for high-performance machine learning model serving with GPU acceleration
- ✓Use GPU accelerated compute for lower latency and higher throughput on production apps
View on vendor site
Premium
Contact SalesBest for: Provides enhanced security, compliance, and governance features for sensitive data
- ✓Databricks Workspace for production jobs, analytics and ML
- ✓Optimized Runtime Engine
- ✓Audit logs and automated policy controls
- ✓Extend your cloud-native security for company-wide adoption
View on vendor site
Capability Breakdown
11 differences found across 18 standardized features
Feature
ClickHouse
Databricks
Self-Hosted
✓
✗
SQL Support
✓
✗
ACID Transactions
✗
✓
Column-oriented
✓
✗
Real-time Ingestion
✓
✗
Replication
✓
✗
Geospatial
✓
✗
Time-series
✓
✗
OLAP Optimized
✓
✗
Vector Search
✗
✓
Serverless
✗
✓
Total (raw)
14
20
ClickHouse Features
- •Column-oriented storage
- •Vectorized query execution
- •Real-time ingestion
- •Kafka integration
- •SQL support
- •Distributed tables
- •Compression (LZ4/ZSTD)
- •Approximate query functions
- •Materialized views
- •Replicated tables
- •JSON support
- •Geospatial functions
- •Time-series optimizations
- •REST and native protocols
Databricks Features
- •Delta Lake (Open Table Format)
- •Apache Spark
- •MLflow (ML Tracking)
- •Unity Catalog (Governance)
- •Databricks SQL
- •Notebooks
- •Delta Live Tables (ETL)
- •Feature Store
- •Model Serving
- •Vector Search
- •Mosaic AI (LLM Fine-tuning)
- •AutoML
- •Workflows (Orchestration)
- •Delta Sharing
- •Multi-Cloud
- •Lakehouse Architecture
- •REST API
- •SDK
- •CLI
- •Connection Pooling
Strengths & Limitations
Evaluative strengths and weaknesses: not feature lists
Pros
- +Scans billions of rows per second via vectorized query execution
- +Materialized Views for real-time, incremental data aggregation
- +High-ratio data compression (LZ4, ZSTD) drastically cuts storage costs
- +Natively handles semi-structured data (JSON, maps, arrays) at scale
- +Full-featured, production-ready open-source core; no vendor lock-in
Cons
- −No multi-row transactions (ACID); not suitable for OLTP workloads
- −Point updates and deletes are expensive, batch-oriented operations
- −Limited full-text search capabilities compared to dedicated search engines
- −Operational complexity for self-hosted clusters (sharding, replication)
- −Steep learning curve for its non-standard SQL dialect and functions
Pros
- +Lakehouse architecture eliminates ETL between data lake and warehouse
- +MLflow is the de-facto ML experiment tracking standard
- +Unity Catalog provides unified governance across data and AI
- +Delta Lake open format avoids vendor lock-in
Cons
- −As a data engineer, I see cluster failure in our Databricks user databases as a major issue.
- −I heard that a new feature is being developed for SAP that can bring SAP data directly into the platform for generating reports.
- −The API deployment and model deployment are not easy on the Databricks side.
- −I am uncertain about specific improvements for Databricks.
- −In my opinion, areas of Databricks that have room for improvement involve the dashboards.
At a Glance
User Rating
4.5/5vs4.6/5
ClickHouse
Databricks
▲
Starting Price
$66.52/movsFree tier
ClickHouse
▲
Databricks
Feature Count
14 featuresvs20 features
ClickHouse
Databricks
▲
User Base
0vs10
ClickHouse
Databricks
▲
ClickHouse · Price & Data SyncLast verified: June 28, 2026 · CE-DB-2026W23-A00E90 · ✓ Pricing updated Jun 7, 2026
Databricks · Price & Data SyncLast verified: June 28, 2026 · CE-DB-2026W23-7B642D · ✓ Pricing updated May 30, 2026
Recent Price History
ClickHouse
ClickHouse updated "Scale" from Custom to $499.38/mo
Price change · Jun 7, 2026
ClickHouse
ClickHouse updated "Basic" from Custom to $66.52/mo
Price change · Jun 7, 2026
ClickHouse
ClickHouse removed the "Cloud Dedicated" plan
Plan removed · May 30, 2026
ClickHouse
ClickHouse removed the "Cloud Production" plan
Plan removed · May 30, 2026
ClickHouse
ClickHouse removed the "Cloud Development" plan
Plan removed · May 30, 2026
Databricks
Databricks added a new "SQL Serverless" plan (Custom pricing)
Plan added · May 30, 2026
Databricks
Databricks added a new "GPU Serving" plan (Custom pricing)
Plan added · May 30, 2026
Databricks
Databricks removed the "Standard" plan
Plan removed · May 30, 2026
Databricks
Databricks added a new "CPU Serving" plan (Custom pricing)
Plan added · May 30, 2026
Databricks
Databricks removed the "Community Edition" plan
Plan removed · May 30, 2026
Frequently Asked Questions
Related Comparisons
ClickHouseFree · from $66.52/mo
DatabricksFree planSources & Data Trail · ClickHouse
- 1.Official Pricing Page·Source of verified tiers(Checked: 2026-06-28)
- 2.Official Website·Official vendor website
- 3.G2·G2 verified reviews · 4.5/5 · 23 reviews
- 4.TrustRadius·TrustRadius verified reviews
- 5.PeerSpot·PeerSpot enterprise peer reviews
Sources & Data Trail · Databricks
- 1.Official Pricing Page·Source of verified tiers(Checked: 2026-06-28)
- 2.Official Website·Official vendor website
- 3.G2·G2 verified reviews · 4.6/5 · 768 reviews
- 4.Capterra·Capterra verified reviews · 4.5/5
- 5.TrustRadius·TrustRadius verified reviews
- 6.PeerSpot·PeerSpot enterprise peer reviews