Turn Customer Data into Revenue with Real-Time Insights
TeraDB Cloud empowers sales and marketing teams to unify siloed data, personalize campaigns at scale, and optimize ROI—all while cutting infrastructure costs by 60% with open-source speed and flexibility.
Disjointed data from CRM (Salesforce), marketing tools (HubSpot), and ads (Google Ads) hinders a 360° customer view.
Delivering hyper-targeted offers/emails with <100ms latency.
Mapping multi-touch journeys across 10+ channels (social, email, web).
Scaling legacy CDPs for large datasets (100M+ users) becomes prohibitively expensive.
Managing PII (GDPR/CCPA) while enabling granular team access.
Different Data Sources provide data in unstructured or Uncompressed form.
Challenge
Unify Salesforce, Google Analytics, and Shopify data for instant insights.
Solution
Ingest CRM/ERP data into ClickHouse via Kafka, using Materialized Views to merge structured (transactions) and semi-structured (web logs) data.
Power dashboards with sub-second SQL queries for metrics like CAC, LTV, and churn rate.
Use ElasticSearch to enable fuzzy search across customer notes and support tickets.
Challenge
Trigger 1M+ personalized emails/hour based on real-time behavior.
Solution
Track web/mobile events in ClickHouse, segment users with SQL window functions (e.g., "abandoned cart in last 2 hours").
Cache user profiles (past purchases, preferences) in RediSearch for <5ms API lookups.
Integrate with Braze/SendGrid via Kafka connectors to activate campaigns.
Challenge
Accurately assign revenue credit across 10+ touchpoints.
Solution
Store raw touchpoint data (UTM params, session IDs) in ClickHouse with time-based partitioning.
Train Shapley value or Markov chain models (Python) for attribution, deploy as ClickHouse ML UDFs.
Visualize attribution paths in Grafana with drill-downs by campaign/region.
Challenge
Prioritize high-intent leads with real-time scoring.
Solution
Ingest lead data (website visits, form fills) into ClickHouse, compute features (page views/hour, email opens).
Train XGBoost models (PyTorch) and deploy as ClickHouse ML functions for instant scoring.
Sync scores to Salesforce via ElasticSearch’s JDBC plugin.
Challenge
Monitor brand sentiment across Twitter, Reddit, and reviews.
Solution
Use ElasticSearch’s NLP plugins to analyze text (sentiment, keywords) from social streams.
Store results in ClickHouse for SQL-based trend analysis (e.g., "negative mentions spiked 50% in 1h").
Trigger Slack alerts via Kibana alerting rules.
ClickHouse: Merge CRM, and web data into a single source of truth with 100x faster queries vs Snowflake.
RediSearch: Cache customer segments for instant campaign activation.
Auto-Scale Compute: Burst during peak campaigns (Black Friday), scale down post-event.
BYOC (Bring Your Own Cloud): Use reserved instances to cut costs by 40%.
Sub-Second APIs: Serve recommendations/offers via RediSearch with <10ms latency.
ClickHouse ML: Deploy models as UDFs for in-database scoring (no ETL delays).
RBAC: Restrict access to PII (e.g., only sales managers can view lead contact info).
BYOK Encryption: Protect customer data with your AWS/GCP KMS keys.
ClickHouse Certified Engineers: Optimize schema designs for funnel analytics.
ElasticSearch NLP Specialists: Fine-tune sentiment analysis pipelines.
Compress data up to 90% for less storage cost.
Structure data at ingestion to minimise the query execution time.
Supercharge real-time analytics with a fully managed columnar database. Process petabytes of data at lightning speed, backed by automated scaling, security, and 24/7 expert support.
Build fault-tolerant data pipelines with a fully managed Kafka service. Stream thousands of events per second, powered by auto-scaling brokers, geo-replication, and enterprise security.
Deliver millisecond search & analytics with a managed ElasticSearch solution. Automate indexing, security, and compliance for log analytics, APM, or customer-facing search.
Power real-time apps with a fully managed Redis service. Achieve microsecond latency for caching, leaderboards, and pub/sub messaging, backed by instant failover and TLS encryption.