Database Services
In short: JusDB provides consulting, remote DBA, performance tuning, migration, and managed services across 12+ database engines - relational (MySQL, PostgreSQL, SQL Server, MariaDB, TiDB), NoSQL and distributed (MongoDB, Cassandra, Aerospike, Redis/Valkey, ScyllaDB, DynamoDB, Cosmos DB), and search/analytics (Elasticsearch/OpenSearch, StarRocks, ClickHouse, Pinot, TimescaleDB, pgvector).
One expert team for 12+ database technologies. From MySQL performance tuning to StarRocks real-time analytics - consulting, remote DBA, migration, and 24/7 managed services. We've managed 1000+ production instances across fintech, logistics, e-commerce, and SaaS.
Why Teams Choose JusDB for Database Management
One team for every database
No juggling three vendors for MySQL, MongoDB, and StarRocks. One team, one Slack channel, one SLA - across your entire database tier.
SRE discipline, not just DBA firefighting
We define SLOs, track error budgets, run blameless postmortems, and automate toil. Not just keeping databases alive - engineering their reliability.
We pay for ourselves
Meaningful cloud cost savings through right-sizing, reserved instance planning, and query optimization. The audit alone typically exceeds our engagement fee.
Productive in week one
Structured fleet discovery, configuration audit, and query profiling methodology. No 3-month ramp-up - we find savings and fixes in the first week.
Relational Databases
Battle-tested relational database services for mission-critical transactional workloads. From MySQL query optimization to PostgreSQL HA clusters - we handle the database layer so your engineering team can ship product.
MySQL / Percona
InnoDB buffer pool optimization, query profiling with pt-query-digest, Galera and InnoDB Cluster HA, ProxySQL load balancing, zero-downtime 5.7→8.0 upgrades. We manage MySQL fleets from 5 to 500+ instances.
PostgreSQL
Streaming replication, PgBouncer connection pooling, Patroni automated HA, WAL-G continuous backups, logical replication for zero-downtime migrations. Extensions: pgvector, TimescaleDB, PostGIS.
Microsoft SQL Server
Always On Availability Groups, Query Store performance analysis, execution plan optimization, SQL Server to Azure SQL migration, SSRS/SSIS management, 24/7 monitoring and incident response.
MariaDB
MariaDB Server and Enterprise optimization, Galera Cluster multi-master replication, MaxScale intelligent proxy routing, ColumnStore for analytics workloads, migration from MySQL.
TiDB
HTAP workload optimization balancing OLTP and OLAP on a single cluster. Horizontal scaling strategy, TiKV storage layer tuning, TiFlash columnar engine configuration, TiCDC change data capture.
NoSQL & Distributed
High-performance NoSQL databases for workloads that demand sub-millisecond latency, horizontal scalability, and multi-datacenter replication. We architect, deploy, and manage your distributed data layer.
MongoDB
Replica set architecture, sharded cluster deployment and rebalancing, Atlas-to-self-managed migration, change streams for event-driven applications, index optimization for read-heavy workloads.
Cassandra
Multi-datacenter replication topology design, repair scheduling with Reaper, compaction strategy optimization (STCS/LCS/TWCS), tombstone management, DataStax OpsCenter integration.
Aerospike
Sub-millisecond latency at scale for real-time decisioning, ad-tech bidding, and fraud detection. Memory and SSD storage tier optimization, cross-datacenter replication (XDR), capacity planning.
Redis / Valkey
High availability cluster architecture with Redis Sentinel or Cluster mode. ElastiCache and MemoryDB optimization, caching strategy design, memory fragmentation analysis, persistence tuning (RDB/AOF).
ScyllaDB
High-performance Cassandra-compatible NoSQL that can deliver substantially higher throughput at lower latency than Cassandra. Migration from Cassandra to ScyllaDB, shard-per-core architecture tuning, Scylla Manager and Scylla Monitoring setup.
Amazon DynamoDB
Partition key and sort key design to avoid hot partitions, Global Tables multi-region replication, RCU/WCU capacity planning and auto-scaling, DAX caching layer, Streams + Lambda for event-driven pipelines.
Azure Cosmos DB
RU/s sizing and cost optimization, multi-API workloads (SQL, Mongo, Cassandra, Gremlin, Table), tunable consistency levels, multi-master multi-region writes, integrated vector search for AI/ML.
YugabyteDB
Distributed SQL with PostgreSQL-wire compatibility. Multi-region active-active deployments, yb-voyager migration from Oracle/PostgreSQL, YCQL for Cassandra workload consolidation, Yugabyte Aeon managed cloud.
Neo4j
Property graph database for connected data: fraud detection, recommendation engines, knowledge graphs. Cypher query optimisation, causal clustering, Graph Data Science library, and AuraDB managed service.
Search & Analytics
Real-time analytical databases and search engines for dashboards, log analytics, AI/ML vector search, and user-facing analytics. We optimize for sub-second query performance on billions of rows.
Elasticsearch / OpenSearch
Log analytics pipeline architecture (ELK/EFK), security hardening with role-based access control, snapshot and restore automation, index lifecycle management, cluster scaling for multi-TB deployments.
StarRocks
Real-time OLAP with vectorized execution engine, data lakehouse architecture with Apache Iceberg integration, materialized view strategy, compaction tuning, Prometheus/Grafana observability.
ClickHouse
High-speed columnar analytics for time-series, event data, and real-time dashboards. MergeTree engine optimization, partition strategy, materialized views, distributed query tuning across shards.
Apache Pinot
Real-time OLAP for user-facing analytics with sub-second latency. Star-tree indexing, upsert support for mutable data, Kafka ingestion pipeline, segment management and tiered storage.
TimescaleDB
PostgreSQL extension purpose-built for time-series data. Hypertable partitioning, columnar compression achieving 90%+ storage reduction, continuous aggregates for real-time dashboards, multi-node scaling.
pgvector
Vector similarity search inside PostgreSQL for AI/ML applications. HNSW and IVFFlat index tuning, embedding pipeline optimization, hybrid search combining full-text and vector queries.
CDC & Data Replication
Change Data Capture solutions for real-time data replication, event streaming, and data lake ingestion. We design, deploy, and manage CDC pipelines that keep your systems in sync without impacting source database performance.
Debezium
Log-based CDC for MySQL, PostgreSQL, MongoDB, and SQL Server via Kafka Connect. Schema registry integration with Avro/Protobuf, exactly-once delivery semantics, connector monitoring and alerting.
AWS DMS
Managed database migration with minimal downtime. Homogeneous and heterogeneous migrations, continuous replication for hybrid cloud, Schema Conversion Tool (SCT) for cross-engine migrations.
Flink CDC
Real-time event streams from databases into data lakes and warehouses. Exactly-once processing semantics, Apache Iceberg and Delta Lake sink connectors, stateful stream transformations.
Apache SeaTunnel
High-performance distributed data integration supporting 100+ connectors. Unified batch and streaming architecture, CDC from MySQL/PostgreSQL/MongoDB, data lake and warehouse sinks.
Frequently Asked Questions
Which databases do you support?
MySQL, PostgreSQL, MongoDB, Cassandra, Aerospike, Redis/Valkey, StarRocks, ClickHouse, Elasticsearch/OpenSearch, TiDB, SQL Server, ScyllaDB, MariaDB, Apache Pinot, TimescaleDB, and pgvector. We also manage CDC tools: Debezium, AWS DMS, Flink CDC, and Apache SeaTunnel.
Do you support multiple databases simultaneously?
Yes - this is our most common setup. Most clients run 2-5 different database engines. We provide a single team with cross-database expertise, unified observability, and one SLA for the entire database tier.
What's the difference between /databases and /services?
The /databases hub organizes our expertise by database technology. The /services page organizes by service type (Remote DBA, Performance Tuning, etc.). Same team, same expertise - different entry points depending on how you think about your needs.
Can you manage databases across multiple clouds?
Yes. We manage databases on AWS (RDS, Aurora, DynamoDB, ElastiCache), GCP (Cloud SQL, AlloyDB, BigQuery), Azure (Azure SQL, Cosmos DB), and on-premise. Our observability stack works regardless of hosting.
Which Database Do You Need Help With?
Tell us your stack and we'll match you with the right database expert - free initial assessment included.