Database Services
In short: JusDB provides consulting, remote DBA, performance tuning, migration, and managed services across 26 database technologies, spanning relational, distributed SQL, NoSQL, in-memory, search, analytical, time-series, and vector workloads.
One expert team for 26 database technologies. From MySQL performance tuning to StarRocks real-time analytics - consulting, remote DBA, migration, and 24/7 managed services. Each engagement starts with workload evidence, operational constraints, and clearly scoped reliability objectives.
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.
Cost-aware engineering
Right-sizing, reserved-capacity planning, and query optimization are evaluated against measured workload and billing data before changes are recommended.
Structured onboarding
Fleet discovery, configuration review, query profiling, ownership mapping, and risk prioritization create a clear starting baseline for the engagement.
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, InnoDB Cluster HA, ProxySQL load balancing, and replication-aware 5.7→8.0 upgrade planning with rehearsed cutovers and rollback procedures.
PostgreSQL
Streaming replication, PgBouncer connection pooling, Patroni automated HA, WAL-G continuous backups, and logical-replication migration planning with validated cutover and rollback. 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
NoSQL databases for latency-sensitive, horizontally scalable, and multi-datacenter workloads. We architect, deploy, benchmark, and manage the distributed data layer against workload-specific objectives.
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
Aerospike architecture for latency-sensitive real-time decisioning, ad-tech bidding, and fraud detection. Memory and SSD storage tier optimization, cross-datacenter replication (XDR), capacity planning, and workload benchmarking.
Redis
Redis architecture and operations for caching, queues, streams, and session data. Cluster and Sentinel HA, RDB/AOF persistence, memory optimization, and migration planning.
Valkey
Production Valkey cluster deployment, Redis-to-Valkey migration, Sentinel high availability, performance tuning, remote DBA, and 24/7 support for the BSD-3 in-memory store.
Dragonfly
Redis- and Memcached-compatible in-memory data services covering migration to Dragonfly's multi-threaded architecture, performance tuning, high availability, and Kubernetes operations.
ScyllaDB
Cassandra-compatible NoSQL built around a shard-per-core architecture. We benchmark Cassandra-to-ScyllaDB migrations, tune the deployment for the target workload, and configure Scylla Manager and Scylla Monitoring.
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.
CockroachDB
Distributed SQL services for multi-region active-active tables, Raft replication, serializable isolation, MOLT migrations, and CockroachDB Cloud deployments.
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
Analytical databases and search engines for dashboards, log analytics, AI/ML vector search, and user-facing analytics. We benchmark query performance against workload-specific latency objectives and representative data volumes.
Elasticsearch
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.
OpenSearch
OpenSearch cluster architecture, Elasticsearch migration, performance tuning, security configuration, and managed operations for self-hosted and AWS OpenSearch 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 latency-sensitive user-facing analytics. Star-tree indexing, upsert support for mutable data, Kafka ingestion pipelines, segment management, tiered storage, and workload-specific performance testing.
Apache Druid
Real-time OLAP services for Kafka indexing supervisors, roll-up segments, time-partitioned data, independently scaled query and storage tiers, and managed Imply deployments.
TimescaleDB
PostgreSQL extension purpose-built for time-series data. Hypertable partitioning, columnar compression policies with measured storage results, continuous aggregates for dashboards, and deployment scaling.
InfluxDB
InfluxDB time-series services covering the 3.x Arrow, DataFusion, and Parquet engine, Telegraf ingestion, SQL and InfluxQL, Flux migration, and cloud deployment choices.
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?
JusDB has dedicated service hubs for 26 database technologies: Aerospike, Apache Cassandra, ClickHouse, CockroachDB, Azure Cosmos DB, Dragonfly, Apache Druid, Amazon DynamoDB, Elasticsearch, InfluxDB, MariaDB, MongoDB, Microsoft SQL Server, MySQL, Neo4j, OpenSearch, pgvector, Apache Pinot, PostgreSQL, Redis, ScyllaDB, StarRocks, TiDB, TimescaleDB, Valkey, YugabyteDB. We also manage CDC tools including Debezium, AWS DMS, Flink CDC, and Apache SeaTunnel.
Do you support multiple databases simultaneously?
Yes. We provide cross-database expertise and can define unified observability, escalation paths, and service objectives across a mixed database estate. Exact coverage and response targets are documented in the engagement scope.
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.