Data Modernization
Your data stack is a Frankenstein — PostgreSQL, Neo4j, Pinecone, InfluxDB, MongoDB, Elasticsearch, Redis, and a warehouse on top. GEOM-db replaces them all with one engine. Lynceus makes the data observable.
The Multi-Database Problem
Six databases, six query languages, six failure modes
Most organizations run 6-10 different databases — PostgreSQL for relational, Neo4j for graphs, Pinecone for vectors, InfluxDB for time-series, MongoDB for documents, Elasticsearch for search, Redis for cache, and a data warehouse on top. Each has its own query language, its own scaling story, its own backup strategy, and its own bill.
When you need to join a graph traversal to a vector search to a time-series range query, you build an ETL pipeline — and hope the data does not go stale between syncs. Every pair of databases needs its own pipeline. More databases means more pipelines, more stale data, more failure modes.
Experience that grows with your scale
Databases Replaced
PostgreSQL, Neo4j, Pinecone, InfluxDB, MongoDB, ES, Redis
Experience that grows with your scale
ETL Pipelines Eliminated
Cross-modality queries, no pipelines
Experience that grows with your scale
Wire Protocols
Your existing tools connect without modification
Experience that grows with your scale
Query Latency
p99, cross-modality joins
One Engine, 20+ Modalities
GEOM-db handles 20+ data modalities natively — relational, document, graph, vector, temporal-causal, key-value, time-series, geospatial, columnar, wide-column, inverted index, event stream, financial, and blockchain. Cross-modality queries join a graph edge to a relational row to a vector embedding in a single SQL statement — with one transaction, one WAL, one MVCC snapshot, and one audit trail.
And it speaks your existing database's wire protocol — PostgreSQL, MongoDB, Redis, Cypher, SPARQL, Cassandra CQL, Kafka — so your existing tools and applications connect without a rewrite.
Wire Protocol Compatibility
Your existing tools connect without modification — no driver changes, no query rewrites.
- PostgreSQLFull wire protocol — psql, pgAdmin, JDBC, psycopg2, Prisma, TypeORM, and 50+ PostgreSQL-compatible tools
- MongoDBMongoDB wire protocol — mongo shell, Mongoose, MongoDB Compass, and all MongoDB-compatible drivers
- RedisRESP3 protocol — redis-cli, ioredis, node-redis, and all Redis-compatible clients
- Cypher / BoltNeo4j Bolt protocol — Neo4j Browser, neokit, APOC, and all Cypher-compatible tools
- Cassandra CQLCQL native protocol — cqlsh, DataStax drivers, and all Cassandra-compatible clients
- KafkaKafka protocol — kcat, Confluent, Strimzi, and all Kafka-compatible consumers and producers
How Babadook Products Modernize Your Data
GEOM-db replaces the database stack. Lynceus makes the data observable. Prometheus governs AI access to it.
GEOM-db: One Engine
Replace 6-10 databases with one engine. 20+ modalities, 65+ wire protocols, cross-modality queries in one SQL statement. Zero ETL. Zero pipeline maintenance. Zero stale data.
Lynceus: Observe Everything
Real-time observability across your data infrastructure — query latency, replication health, cache hit rates, and anomaly detection. 99% of queries under 2ms, full distribution visible.
Prometheus: Governed AI
Every AI model that touches your data is governed — model version, input context, output, and decision boundary, all cryptographically signed. Per-tenant isolation at the cache-salt level.
Haephestus: Data DevOps
Source control for data schemas, migration management, and CI/CD for database changes. One audit trail across all data infrastructure changes — who changed what, when, and why.
Migration Without Rewrites
The hardest part of data modernization is not choosing the new database — it is migrating without breaking the applications that depend on the old one. GEOM-db speaks the same wire protocol as your existing database, which means your applications connect without modification.
No driver changes. No query rewrites. Point your existing application at GEOM-db and it just works. Migration is a cutover, not a project.
The Data Modernization Stack
From storage to governance — one platform for your entire data lifecycle.
GEOM-db
Multi-modality database — 20+ data models, 65+ wire protocols, cross-modality queries, Merkle integrity, polytemporal audit trails.
Lynceus
Observability — metrics, logs, traces, profiles, events, topology, security, and business KPIs. One platform, one query language, one timeline.
Prometheus
Governed AI inference — model lineage, per-tenant isolation, token accounting, causal audit trails. Deploy AI that your compliance team can sign off on.
Haephestus
Data DevOps — schema versioning, migration CI/CD, and one audit trail across all data infrastructure changes.
Data Modernization FAQ
Architecture to delivery
Put this solution to work.
Map your operating constraints with our solutions team and define the right delivery path.